#snowflake automation

[sigmasolveinc]

A Fine Print Of Four Prominent Cloud Platforms

Synopsis: 

Not only cost-cutting, but cloud computing services have become an essential business element to survive changing market dynamics, improve product or service delivery, and grow beyond convention success. In this blog, we emphasize selecting the right cloud platform instead of investing massively in building IT infrastructure, data warehouses, and security apparatus. Nonetheless, we will study each cloud solution provider with a comparative analysis. 

What is a cloud platform? 

A cloud platform can be referred to in a number of ways. Still, usually, a data center that houses IT infrastructure consisting of operating systems, software applications, and hardware products on a server is known as a cloud platform. Cloud companies such as Microsoft, Amazon, Google, Snowflake, Salesforce, and others have built cloud services for various business processes. 

Going further in this blog, we will evaluate the four prominent cloud platform providers here, namely Salesforce, Azure from Microsoft, AWS from Amazon, and Snowflake. We will also evaluate them collectively through a comparative study. 

Azure by Microsoft: 

Azure is one of the most definitive cloud platforms developed by Microsoft. The cloud services offered by Azura are far-ranging for businesses of all types. Azure brings an exhaustive list of cloud services for businesses such as MaaS, IaaS, PaaS, and SaaS to perform almost all tasks on the cloud without the need for in-house infrastructure. Azure has a fanbase and a loyal customer base. From MSMEs to global enterprises, all types of businesses prefer Azure Cloud services, given its all-inclusive cloud services, encompassing data storage, data processing, cloud computing, data analytics, and networking, among many other services. 

Prominent Features: 

AI and ML: Azure comes with empowering AI and ML tools to help businesses develop AI-based applications, perform AI-based automation, and craft accurate data analytics.

Scalability: Businesses are able to increase or decrease the utilization of resources per their needs to ensure that they don’t overshoot the cost and maximize resource utilization.

Security: Microsoft is known to provide a secure IT environment, and Azure is no different. From encryption to compliance and from identity to data access, Azure offers robust security.

Hybrid Capability: Azura makes it possible for businesses to collaborate between cloud infrastructure and in-house IT infrastructure effortlessly and seamlessly.

Global Reach: Azure possesses a wide network of data centers across the globe, enabling businesses to access data, applications, and hardware with low latency from anywhere.

Why Azure?

Flexible: Azure is a highly flexible cloud service platform. Businesses can scale up and scale down the number of services as per their needs to calibrate their cost-benefit ratio.

Versatile: There isn’t anything that Azure can’t offer. Its versatility empowers all kinds of businesses with almost all types of cloud computing services and AI integration.

Integration: Azure supports many open-source technologies to help businesses seamlessly integrate their existing products and features, such as Windows and SQL servers, with Azure.

Cost-effective: Azure doesn’t make big holes in pockets due to scalability and flexibility and helps businesses optimize resources and control costs.

Monitoring: Azure’s single-pane operations capability flawlessly monitors and manages the IT environment against cyber threats for hybrid infrastructure.

AWS by Amazon:

When we talk about cloud computing, we must mention AWS by Amazon. Since 2006, AWS has been a top-notch on-demand cloud services provider. AWS cloud services include data analytics, machine learning, database management, computing capabilities, and data storage and processing. Migrating to the AWS cloud platform has helped many businesses grow their businesses exponentially without making much capital investment in building IT infrastructure. In fact, businesses have successfully expanded their businesses in one or two countries globally. AWS is known for its security measures that protect applications, data, and hardware — all together with its robust anti-hacking cybersecurity apparatus.

Prominent Features:

Ecosystem: AWS consistently updates its cloud technology with new services and launches new ones regularly. It has created an ecosystem that enables businesses to innovate and improve constantly.

Performance: AWS ensures redundancy for businesses to avail services on-demand. Moreover, with service level agreements with third parties, AWS ensures the availability of services for peak performance.

Global Scope: AWS has its data centers spread across the globe. Businesses can avail of cloud services, including compliance certificates and data storage, anywhere in the world to expand their businesses.

Security: Compliance certificates, data encryption, identity and data access management, and user management are some of the key security features that make AWS a secure cloud platform.

Cost-efficiency: AWS ensures that businesses pay only as much as they use. PAYG pricing helps businesses reduce their operational costs after already reducing their infrastructural costs.

Why AWS?

Uptime: AWS is a robust cloud platform with data redundancy, overlapping data center availability, and exclusive and secure infrastructure for excellent uptime.

Scalability: There is no prerequisite to commit to the use of services. Businesses can increase or decrease AWS resources as per their needs.

Compliance: AWS ensures businesses have global compliance certificates. Being able to follow regulations effortlessly makes AWS a trustworthy cloud platform.

Ease of Use: User-friendly interface makes AWS one of the most preferred cloud platforms. Businesses can easily integrate AWS using its APIs for smooth management.

Innovation: With a wide range of cloud services, AWS ensures that businesses can utilize its ecosystem and innovate products and services to stay ahead of the competition.

Snowflake:

Being able to host the application and data on the cloud server is not sufficient for 

businesses. Nowadays, businesses require robust big data analytics to change the game. Snowflake has revolutionized the way businesses collect, process, analyze, and make decisions. Snowflake is a data platform hosted in the cloud with highly accurate and sustainable data processing features. It provides a SaaS solution that provides a simple yet scalable cloud platform that is flexible and guarantees high performance. Snowflake cloud services have redefined how businesses make critical business decisions to expand, grow, and achieve milestones.

Prominent Features:

Elasticity: Being able to process large amounts of data is key to data analytics. Snowflake allows businesses the flexibility to scale up or scale down data processing and cloud computing to meet their needs.

Concurrent Processes: Snowflake ensures that businesses are able to run multiple data processes simultaneously without any latency or malfunction and with accuracy and process automation.

Auto Optimization: Snowflake and automation go hand in hand. Snowflake optimizes data processes depending on workload and automates performance tuning in line with requirements.

Zero-Copy Cloning: Snowflake ensures that there is no duplication of data and instead clones databases efficiently for simultaneous development processes and project testing. It saves resources and, thereby, costs.

Data Sharing: Data sharing is vital for businesses to collaborate and coordinate across various departments and client organizations. Snowflake has in-built and unique data-sharing capabilities.

Why Snowflake?

Scalability: Businesses can simply disregard the need for more storage as Snowflake ensures cent percent scalability to enable businesses to accommodate any amount of data.

Reduced Costs: Given the capability of running multiple processes simultaneously, businesses can optimize resource utilization to ensure the cost does not escalate.

Ease of Use: Migrating to Snowflake is easy because of its data processing simplification and intuitive interface. Snowflake reduces complexity and helps businesses adopt it easily.

Performance: Speed and accuracy are key to Snowflake. Regardless of the data volume, Snowflake ensures high performance for sustainable data analysis processes.

Support: Snowflake support is commendable. Notwithstanding the data type variables, Snowflake delivers pinpoint analytics and insights, handling diverse data sets.

Salesforce:

One of the oldest but most accomplished and highly resourceful cloud platforms is Salesforce. Salesforce was initially designed to automate and improve sales processes. As it grew, it became a full-fledged CRM that manages customer relations efficiently, enhances marketing practices, drives sales, and maintains growth momentum. Flexibility and scalability for business adaptability are given; Salesforce comes with robust automation to take over many marketing processes and customer engagement. Salesforce cloud services deliver inassumable insights into customers for businesses to build a loyal customer base. Salesforce has become synonymous with sales and ROI growth.

Prominent Features:

Sales Cloud: Salesforce collects and stores customer data centrally and optimizes lead nurturing and tracking to improve performance and increase sales, along with improved pipeline management.

Service Cloud: enhanced customer experiences drive sales, and Salesforce enables businesses to provide superior customer experiences with incredible customer service solutions.

Marketing Automation: Effective marketing changes the sales scenario dramatically. Therefore, Salesforce provides exceptional marketing automation tools for email marketing, lead nurturing, and personalization.

Customization: Mold your Salesforce cloud platform the way you want. Businesses can easily customize Salesforce to meet their distinctive needs regarding marketing, customer service, and more.

Apps Exchange: Salesforce integrates a large number of third-party apps with its cloud-based services to ensure businesses can leverage diverse functionalities for their requirements.

Why Salesforce?

Rich Customer Relations: Customer loyalty is vital for business growth. Salesforce empowers businesses to build strong bonds with customers and consistent engagement.

Automation: Salesforce is marketing heaven, as it automates many marketing processes to increase productivity, ensuring that businesses focus on sales and customer experiences.

Insights: Salesforce has a strong base in data-driven analytics. It ensures businesses have critical insights at their fingertips and forecasts on their table for informed choices.

Ecosystem: Not just a cloud platform, but Salesforce is a marketplace with many applications integrated for businesses to operate without glitches.

Community: Salesforce delivers consistent growth with its active user community. It enables businesses to tap new business opportunities, global collaborations, and resources.

Concurrence:

Each of the clouds that we evaluated above has a strong foundation in technology. Be it Snowflake or Salesforce, Azure or AWS. However, businesses can’t adapt to all four simultaneously. Therefore, to determine the right one for your business, a comparative study is essential.

In the next part of the blog, we will undertake a comparative study of all four cloud platforms to help you realize the right one for you. Stay tuned for the next part of the blog with vital guidelines to select the right cloud platform.

Original source: here

[nitor-infotech]

What is Snowpark?

Snowpark is an open-source programming model and language. It aims to simplify the process of writing and executing data processing tasks on various data platforms. Snowpark provides a unified interface for developers to write code in their preferred languages, such as:

Java

Scala

Python.

This makes it seamlessly integrate with the underlying data processing frameworks.

In this microblog, we will explore Snowpark's key features and delve into its significant advantages.

Key Features of Snowpark

Here are the top 3 key features of Snowpark:

Polyglot Support: Snowpark supports multiple programming languages. Thus, allowing developers to code in their preferred language and leverage their existing skills.

Seamless Integration: Snowpark integrates with popular frameworks like Apache Spark. This provides a unified interface for developers to access the full capabilities of these frameworks in their chosen language.

Interactive Development: Snowpark offers a REPL (Read-Eval-Print Loop) environment for interactive code development. This enables faster iteration, prototyping, and debugging with instant feedback.

So, Snowpark allows developers to leverage their language skills and work more flexibly, unlike Spark or PySpark. Furthermore, discover the unique advantages of Snowpark and know about the difference it makes.

Advantages of Implementing Snowpark

Here are the advantages of Snowpark over other programming models:

Language Flexibility: Snowpark stands out by providing polyglot support. Thus, allowing developers to write code in their preferred programming language. In contrast, Spark and PySpark primarily focus on Scala and Python. Snowpark's language flexibility enables organizations to leverage their existing language skills and choose the most suitable language.

Ease of Integration: It seamlessly integrates with frameworks like Apache Spark. This integration enables developers to harness the power of Spark's distributed computing capabilities while leveraging Snowpark's language flexibility. In comparison, Spark and PySpark offer a narrower integration scope which limits the choice of languages.

Interactive Development Environment: Snowpark provides an interactive development environment. This environment allows developers to write, test, and refine code iteratively, offering instant feedback. In contrast, Spark and PySpark lack this built-in interactive environment, potentially slowing down the development process.

Expanded Use Cases: While Spark and PySpark primarily target data processing tasks, Snowpark offers broader applicability. It supports diverse use cases such as data transformations, analytics, and machine learning. This versatility allows organizations to leverage Snowpark across a wider range of data processing scenarios, enabling comprehensive solutions and flexibility.

Increased Developer Productivity: Snowpark's language flexibility and interactive environment boost developer productivity. Developers can work in their preferred programming language, receive real-time feedback, and streamline the development process. In contrast, Spark and PySpark's language constraints may hinder productivity due to the need to learn new languages or adapt to limited options.

Therefore, Snowpark revolutionizes big data processing by offering a versatile platform that supports multiple programming languages. By adopting Snowpark, developers can enhance their efficiency in executing data processing tasks.

This powerful tool has the potential to drive innovation. It can also streamline development efforts and open exciting new opportunities for businesses. Also, stay updated with Nitor Infotech’s latest tech blogs.

[amethystarachnid]

Hi! 🤍

For my second request, I'd love to request a college student! Tony Stark or a young! Tony Stark (after college) story for your Marvel Holiday Special, whichever one you prefer to write for.

I'm thinking of the prompt [ 8. First Christmas Together  – Share a special first holiday celebration with your character, complete with shared traditions and sweet moments. ] for him and Fem! Reader, with lots of cute moments such as buying/decorating a tree together, going to a Christmas market, exchanging sweet, thoughtful gifts, making peppermint hot chocolate, etc. (I understand if you can't fit all of this in; please feel free to pick and choose which ideas you'd like to write about the most.)

Thank you so much, and I'm looking forward to seeing all the stories you'll gift us this holiday season! 🤍

FROGS, GLOBES AND BURNT CHOCOLATE

⤷ ANTHONY “TONY” E. STARK

ᯓ★ Pairing: Anthony “Tony” E. Stark x fem!reader

ᯓ★ Genre: romance, fluff

ᯓ★ Request from: MARVEL Holiday special

ᯓ★ Story type: one shot

ᯓ★ Word count: 6.5k

ᯓ★ Summary: it's the first Christmas for you and Tony in your shared apartment and you are really excited: will it be a complete disaster or the best Christmas ever?

ᯓ★ TW(s): fluff

ᯓ★ me when soft men and Christmas

ᯓ★ My Masterlist

ᯓ★ MARVEL Holiday Special

ᯓ★ MARVEL Multiverse - choose an AU, pair it with your favorite character and make a request!

ᯓ★ Songs & Superheroes tales - The Game (to make a request, follow the rules on the link!)

ᯓ★ MARVEL Bingo

ᯓ★ English isn’t my first language

The biting December air nips at your cheeks as you step out of the car, the door swinging closed with a quiet thud behind you. Snowflakes drift lazily from a slate-gray sky, dotting the ground with a fresh layer of white, and the smell of pine and roasted chestnuts lingers faintly in the air. The shopping plaza is bustling with life, from bundled-up couples carrying oversized bags to kids chasing each other, their laughter cutting through the cold. Beside you, Tony Stark, hands stuffed in the pockets of his leather jacket, surveys the scene like he’s about to conquer it.

“You realize,” he starts, cocking an eyebrow at the giant inflatable Santa looming above the store entrance, “this is all part of a grand capitalist scheme, right? They’re counting on saps like us to drop a small fortune on plastic snowflakes and gaudy lights.”

You roll your eyes, nudging his arm playfully as you step closer. “You say that now, but I saw how excited you got when I mentioned a tree. Don’t try to pretend you’re above it.”

“I’m excited because I’m picturing us building some kind of robot that lights the tree for us. Or—ooh, one that launches ornaments like tiny projectiles. Think about it: automated Christmas chaos.”

“Or we could just have a normal Christmas like normal people,” you suggest, looping your arm through his and steering him toward the store entrance. The warmth of his body seeps through the layers of your coat, and you feel a spark of giddiness bubbling in your chest. This isn’t just any Christmas; it’s your Christmas together, in your new apartment. The thought alone is enough to make your heart skip.

Tony hums noncommittally, but there’s a glimmer of mischief in his eyes as the automatic doors slide open. “Normal’s overrated. But fine, I’ll humor you. Lead on, holiday spirit incarnate.”

The store is a sensory overload of glitter and color, every aisle packed to the brim with tinsel, ornaments, and lights. A soft instrumental version of “Jingle Bells” plays over the speakers, adding to the festive chaos. Tony lets out a low whistle as he takes it all in.

“Okay, I’ll admit it. This is…a lot,” he says, plucking a sparkly green bow from a nearby shelf and holding it up. “Tell me you don’t want me to wear this.”

“I wasn’t going to,” you reply, snatching it out of his hand, “but now that you mention it…”

He grins, a boyish, lopsided thing that makes your stomach flip. “You know, I’d do it for you. I’d make it look good, too.”

You laugh, shaking your head as you steer the cart down the first aisle. It’s stocked with strings of lights in every color imaginable, and you pause to inspect a box of classic white ones. Tony, naturally, zeroes in on something completely different.

“Multicolor. Obviously,” he says, holding up a box of lights that blink in erratic patterns. “This screams fun. And by fun, I mean mildly seizure-inducing, but hey, memorable.”

“Memorable is one word for it,” you reply, raising an eyebrow. “But I was thinking classic. White lights are elegant.”

“Oh, I see. You’re going for classy,” Tony says, resting an arm casually on the cart’s handle. “But come on, we’re young, living in sin, and this is our first Christmas in our place. It should be fun, not…a Martha Stewart catalog.”

You laugh despite yourself, considering his point. “Okay, fine. But we’re compromising. White lights for the tree, multicolor for…something else.”

“Deal,” Tony agrees, tossing the box of multicolored lights into the cart with an air of triumph. “This is how we build a healthy relationship. Compromising over Christmas decorations. Dr. Phil would be so proud.”

“You’re impossible,” you say, rolling your eyes even as a smile tugs at your lips.

“And yet, here you are, willingly cohabitating with me. Who’s the real winner here?”

You shake your head, but the warmth in his voice and the sparkle in his eyes make it impossible to be annoyed. Instead, you grab his hand, threading your fingers through his. “Come on, Stark. Let’s find a tree.”

The tree section is overwhelming, with rows upon rows of artificial evergreens of varying heights and degrees of realism. Tony takes it upon himself to test the sturdiness of each one by shaking them, earning a few disapproving looks from nearby shoppers.

“This one looks like it could survive an earthquake,” he says, gesturing to a six-foot tree with perfectly symmetrical branches. “What do you think?”

You inspect it critically, running your hand over the faux pine needles. “It’s nice, but…is it too perfect? I kind of like the ones that look a little…messy. More natural.”

Tony steps back, rubbing his chin in mock seriousness. “You want messy? Oh, I can find messy. But let’s just hope it doesn’t come pre-infested with fake squirrels or something.”

“Fake squirrels?” you echo, laughing. “That’s oddly specific.”

“What can I say? My imagination is a gift.” He grins, leaning down to press a quick kiss to your temple before turning to scour the rows for the “perfectly imperfect” tree. The simple gesture sends a warm glow through you, and you find yourself marveling, not for the first time, at how easily he makes you feel cherished.

After some debate—and a bit of mild bickering—you settle on a slightly uneven but charmingly full tree that Tony immediately dubs “Frank.” The name sticks, and by the time you’re wheeling the cart toward the ornament aisle, you’re both brainstorming ways to make Frank the star of the apartment.

“Obviously, Frank needs a killer topper,” Tony says, scanning the shelves. “Something that says, ‘I’m the king of this Christmas.’ What about this?” He holds up a comically oversized star, glitter raining down from it as he tilts it from side to side.

You wrinkle your nose. “It’s a little…much.”

“That’s the point,” he insists, but you shake your head, and he relents with a dramatic sigh. “Fine. You pick. But if you pick something boring, I reserve the right to judge you.”

You smirk, holding up a simple yet elegant angel with golden wings. “How’s this?”

Tony eyes it for a moment before nodding. “It’s got class. I approve.”

“Good,” you reply, adding it to the cart. “Now let’s talk ornaments.”

Tony immediately gravitates toward the more unconventional options—a hamburger, a miniature disco ball, a tiny rocket ship. You can’t help but laugh as he piles them into the cart with zero hesitation.

“We’re going for eclectic, right?” he says, grinning at your expression.

“Eclectic is one way to put it,” you reply, picking up a box of glass baubles in varying shades of red and gold. “But I think we need a little balance.”

“Sure, sure. Balance.” He waves a hand dismissively before adding a dinosaur ornament to the pile. “Like this guy. He’s green, he’s festive, and he’s clearly balancing the holiday spirit with prehistoric flair.”

You groan, but it’s impossible to be annoyed with him. His enthusiasm is infectious, and you find yourself laughing more than you have in weeks. By the time you make it to the checkout line, your cart is an eclectic mix of classic and quirky, much like the two of you.

As the cashier rings up your items, Tony leans against the counter, watching you with an expression that’s equal parts fond and amused. “You know,” he says, his voice low enough that only you can hear, “I think this might be the most fun I’ve ever had in a store.”

“Really?” you tease, arching an eyebrow. “Even more fun than that time we got kicked out of IKEA?”

“That wasn’t fun; that was an adventure,” he replies, grinning. “This is different. This is…nice.”

His words, simple as they are, make your chest ache in the best way. You reach out, slipping your hand into his and giving it a gentle squeeze. “Yeah,” you agree softly. “It is.”

By the time you get everything loaded into the car and head back to the apartment, the snow has started falling harder, the flakes sticking to the windshield as the wipers sweep them away. Tony hums along to the Christmas music playing softly on the radio, and you can’t help but smile at how relaxed he looks, one hand on the wheel, the other drumming against his knee.

When you finally arrive home, the two of you haul your bags and the boxed-up tree upstairs, collapsing onto the couch in a heap of exhaustion and laughter. The apartment is warm and cozy, the faint scent of cinnamon from the candle you lit earlier filling the air. Tony stretches out, his head resting in your lap as he looks up at you with that lazy, lopsided grin you love so much.

“Ready to turn this place into a winter wonderland?” he asks, his voice tinged with mock seriousness.

You laugh, running your fingers through his hair. “Ready as I’ll ever be.”

And with that, the two of you set to work, turning your shared space into something magical. Every ornament, every string of lights, every silly joke shared along the way feels like a promise—of love, of laughter, of a future together that’s as bright and colorful as the tree now standing proudly in the corner.

Tony sprawls out on the floor, an open box of ornaments beside him, his legs kicking lazily as he examines a particularly garish one: a glitter-covered pineapple. He holds it up to the light, squinting as if he’s inspecting a fine piece of art. “This one,” he declares, pointing at the pineapple and then at you with the seriousness of a presidential speech, “needs prime real estate. Front and center. It’s the kind of ornament that demands attention.”

You glance over from where you’re untangling a string of lights, your hands already glittery from the process. “It’s hideous. If it’s going on the tree, it’s going in the back where no one can see it.”

“Hideous?” Tony gasps, clutching the pineapple like it’s a wounded comrade. “This is a conversation starter. It says, ‘This tree belongs to people with taste and a sense of humor.’”

“It says, ‘This tree belongs to people who lost a bet,’” you counter, tossing a rogue light bulb into the trash pile.

He drops the ornament into the box with an exaggerated huff, crossing his arms and leaning back against the couch. “You have no appreciation for the avant-garde. Next, you’re going to tell me my disco-ball ornament doesn’t make the cut either.”

“Oh, that’s going on the tree,” you say with a smirk, plugging in the lights and watching them flicker to life. “I have to draw the line somewhere, but even I’m not heartless enough to deprive you of a tiny disco inferno.”

Tony grins, clearly victorious. “That’s the spirit. All right, let’s light this bad boy up.”

The two of you tackle the tree together, winding the lights around it in haphazard loops. Tony insists on controlling the rotation of the tree while you maneuver the lights, which leads to a fair amount of bickering, punctuated by his constant reminders to “watch the top—Frank’s got dignity, you know.”

“You named it,” you mutter under your breath, stepping over a stray ornament. “You’re not allowed to treat it like it’s a fragile piece of Renaissance art.”

“I named it because I care,” he replies loftily, holding the tree steady as you stretch up on your tiptoes to loop the lights higher. “And because I think Frank deserves respect for the sacrifices he’s making to be part of our inaugural Christmas.”

“He’s a fake tree, Tony.”

“Fake doesn’t mean he’s emotionless,” Tony quips, grinning at you. “I mean, look at me. A solid 50% of my charm is artificial, and I’m still delightful.”

You laugh, shaking your head as you finally secure the last strand of lights. “Okay, fine, Frank. If you’re sentient, blink twice.”

Tony leans in close to the tree, squinting at the lights with mock intensity. “Was that a blink? Did you see it?”

“Definitely not,” you reply, rolling your eyes as you pick up a box of ornaments. “Now let’s get to the fun part.”

Tony takes an unceremonious dive into the box, emerging with the hamburger ornament in one hand and a golden bauble in the other. “Burgers or boring?” he asks, holding them up like they’re dueling gladiators.

“Both,” you say, plucking the bauble from his hand and placing it carefully on the tree. “It’s called balance, remember?”

He makes a face but hangs the burger ornament on a branch anyway. “Fine, but I’m putting it next to the dinosaur for thematic consistency. Carnivores stick together.”

“Carnivores?” you repeat, laughing. “You’re putting way too much thought into this.”

“Hey, someone has to,” Tony says, standing back to survey his work. “Look at that. A prehistoric picnic. The tree’s already a masterpiece, and we’ve barely started.”

The decorating continues in a flurry of glitter, laughter, and occasional sabotage. Every time you carefully place a glass ornament, Tony finds a way to “accidentally” bump into the tree, sending it wobbling precariously.

“Oops,” he says innocently, steadying the trunk. “Guess Frank’s not as sturdy as we thought.”

“Keep doing that, and Frank’s going to end up on the curb,” you warn, pointing a candy-cane-shaped ornament at him like it’s a weapon.

“You wouldn’t dare,” Tony replies, his grin widening. “Not with all the blood, sweat, and glitter we’ve poured into this.”

“You’re testing me, Stark.”

“Oh, I live to test you,” he says with a wink, before dramatically hanging the pineapple ornament directly in the center of the tree. “There. Perfection.”

You groan, but you’re laughing too hard to argue. Instead, you reach for the tree topper—the angel you picked earlier—and hold it up for inspection. “Ready to crown Frank?”

Tony salutes you, stepping back to give you room. “Do it. Make him majestic.”

You climb onto the arm of the couch for a little extra height, balancing carefully as you place the angel on top of the tree. Tony’s hands hover near your waist, ready to catch you if you wobble.

“There,” you say, stepping back to admire your handiwork. “What do you think?”

Tony tilts his head, his arms crossed as he surveys the tree. “I think Frank’s looking sharp. A little eclectic, a little classy. Just like us.”

You smile, nudging his side. “You’re such a sap.”

“Only for you,” he replies smoothly, wrapping an arm around your shoulders and pulling you close. “So, what’s next? Stockings? Mistletoe? A twenty-foot inflatable snowman for the balcony?”

“Stockings, yes. Mistletoe, maybe. The snowman? Absolutely not.”

“Buzzkill,” Tony mutters, but he’s grinning as he grabs a pair of stockings from one of the shopping bags. “Do we hang these by the nonexistent chimney with care? Or do we just toss them wherever and hope Santa’s GPS works?”

You snatch the stockings from him, rolling your eyes. “We hang them on the wall, genius. Like civilized people.”

As you arrange the stockings Tony rummages through another bag, producing a tangled mess of garland. He holds it up triumphantly. “What do you think? Wall art or trip hazard?”

“Knowing you? Both.”

He laughs, draping the garland over his shoulders like a boa. “You’re no fun. But fine, I’ll keep it classy. Where do you want it?”

After some debate—and an accidental garland lassoing incident—you manage to string it up along the window, adding a cozy, festive touch to the room. By the time you’re finished, the apartment feels transformed. The tree twinkles in the corner, the stockings hang proudly on the wall, and the faint scent of cinnamon from the candle still lingers in the air.

Tony collapses onto the couch with a dramatic sigh, patting the space beside him. “All right, decorating queen. Come admire our masterpiece.”

You join him, tucking your feet under you as you lean against his side. He throws an arm around your shoulders, pulling you close as the two of you sit in comfortable silence, watching the lights on the tree blink and twinkle.

“You know,” he says after a moment, his voice softer than usual, “this actually turned out pretty great.”

“You sound surprised,” you tease, resting your head against his chest.

“I’m not surprised,” he replies, brushing a strand of hair from your face. “I just… I don’t know. It’s nice. Having this. With you.”

Your chest tightens at the sincerity in his voice, and you tilt your head to look up at him. His expression is uncharacteristically serious, his brown eyes warm and earnest.

“Yeah,” you say softly, your hand finding his. “It is.”

He squeezes your hand, his usual smirk returning as he glances at the tree. “Although I still say the pineapple should’ve been the topper.”

You groan, laughing as you swat his arm. “You’re impossible.”

“And yet, here you are,” he quips, leaning down to press a quick kiss to your forehead. “Guess that makes me irresistible.”

“Or maybe I’m just a saint,” you reply, grinning up at him.

“Either way,” he says, settling back against the couch with a satisfied sigh, “this is shaping up to be the best Christmas ever.”

And as you sit there, the soft glow of the tree lighting up the room, you can’t help but agree.

The snow falls gently, blanketing the cobblestone streets of the Christmas market in a powdery white. Strings of twinkling lights are draped between booths, casting a warm glow over the bustling scene. The air is rich with the mingling scents of roasted chestnuts, mulled wine, and sweet pastries, and the faint hum of Christmas carols played by a live quartet in the distance adds a magical touch to the atmosphere.

You clutch Tony’s arm as the two of you wander through the market, your boots crunching softly against the snow-dusted ground. He’s wearing his favorite dark coat, the one that hugs his shoulders just right, and a red scarf that you gave him last Christmas. The scarf is slightly askew, and it makes him look effortlessly charming in that disheveled way only he can pull off.

“You know,” he says, his breath puffing out in little clouds, “this place is like a booby trap for wallets. Everywhere you turn, something’s glittering and saying, ‘Buy me! Buy me!’ It’s diabolical.”

You laugh, tightening your grip on his arm. “It’s a Christmas market, Tony. That’s kind of the point.”

He grins, his brown eyes glinting with mischief. “Yeah, well, just remember, you’re in charge of stopping me from buying a chocolate fountain or a solid gold Santa.”

“Solid gold Santa? That’s oddly specific.”

“Give it time,” he replies. “I’m sure there’s a booth for it somewhere. Maybe next to the artisanal hot chocolate stand.”

As if on cue, you pass a booth selling gourmet hot chocolate, complete with toppings ranging from whipped cream to crushed candy canes. Tony slows, glancing at the display with obvious interest.

“Should we?” he asks, already reaching for his wallet.

“Tony, we’ve been here five minutes, and you’re already caving,” you tease, pulling him away gently. “Let’s at least make it past the first aisle before we start buying things.”

“Fine, but I’m circling back for it,” he says, shooting the booth a longing look as you guide him onward.

The market is a sensory overload in the best possible way. Every booth offers something unique: hand-carved wooden toys, blown glass ornaments, cozy knit scarves, and even quirky items like soap shaped like reindeer. Tony, naturally, gravitates toward the most absurd finds.

“Look at this!” he exclaims, holding up a ceramic frog wearing a Santa hat. “Tell me this isn’t peak holiday spirit.”

“It’s…something,” you admit, trying not to laugh. “But do we really need a festive frog in our lives?”

“We don’t need it, but we deserve it,” he counters, raising an eyebrow. “You’re really going to deny Frank the Frog a warm, loving home?”

You snatch the frog from his hands, placing it back on the display. “Frank the Frog will have to find a family that appreciates him more than we do.”

“Cold,” Tony mutters, shaking his head as you move on. “Heartless. And here I thought you were the soft one in this relationship.”

You glance back at him, smirking. “You clearly don’t know me at all.”

“Oh, I know you,” he replies, falling into step beside you again. “I also know you’re going to want to buy something completely impractical any minute now. And when you do, I’ll be ready to gloat.”

“Fat chance,” you say, but you can already feel your resolve slipping as you pass a booth selling intricately detailed snow globes. One of them catches your eye—a small, delicate scene of a snow-covered village illuminated from within. You reach out to pick it up, turning it over to watch the snow swirl inside.

Tony sidles up next to you, a smug grin on his face. “And here it is. The impractical thing.”

“It’s not impractical,” you protest, cradling the snow globe carefully. “It’s…beautiful.”

“It’s also one more thing for me to dust,” he teases, but there’s no bite to his words. He leans closer, examining the globe with genuine interest. “Okay, I’ll admit, it’s pretty cool. But do we really need it?”

You hesitate, your fingers curling around the base of the globe. “Probably not,” you say reluctantly, setting it back down. “But if I’m not allowed to buy the snow globe, you’re definitely not allowed to buy Frank the Frog.”

“Deal,” he says with a laugh, grabbing your hand and pulling you toward the next aisle. “We’ll save our money for something really ridiculous.”

The snow continues to fall, soft and steady, as you explore more of the market. Tony insists on sampling every food item in sight—gingerbread, roasted chestnuts, candied almonds—and you can’t help but laugh at the way his face lights up with each new bite.

“This,” he says, holding up a stick of caramel-dipped apple slices, “is how you do a Christmas market. Pure sugar, zero regrets.”

“You’re going to crash so hard later,” you warn, nibbling on one of the apple slices he offers you.

“Worth it,” he replies, his tone entirely unapologetic. “Besides, I’m burning calories walking in circles and fending off your bad taste in snow globes.”

“Watch it,” you say, swatting his arm lightly. “Or I’ll let you buy something ridiculous just to prove a point.”

“I’d like to see you try,” he replies, grinning. “You’re too responsible for that.”

“Don’t test me,” you warn, though you’re smiling too.

Eventually, the two of you come across a booth selling handmade ornaments, each one painted with intricate designs. Tony picks up one shaped like a tiny sled, examining it with a critical eye.

“Okay, this one’s actually pretty cool,” he says, holding it out to you. “And it’s functional. In an emergency, we could probably use it to deliver tiny presents.”

You laugh, taking the ornament from him. “I don’t think it’s meant for that, but it’s cute. Should we get it?”

“Absolutely,” he replies. “Frank the Tree deserves at least one classy ornament.”

“Classy? From the guy who wanted to buy a glittery pineapple?”

“Hey, I contain multitudes,” he says with a shrug, handing over cash to the vendor.

With the ornament carefully tucked away in a bag, you and Tony continue your stroll through the market, the lights twinkling above you like stars. He keeps a running commentary on everything you pass—mocking the price of hand-knitted mittens, marveling at the craftsmanship of a miniature nativity scene, and cracking jokes about a booth selling gourmet dog treats.

“Do you think they’d let us try one?” he asks, holding up a bone-shaped biscuit labeled ‘peanut butter delight.’

“Tony, no,” you say, laughing as you drag him away.

By the time you reach the end of the market, your hands are full of small treasures—a bag of candied almonds, the sled ornament, and a knit scarf that Tony insisted would “complete your winter aesthetic.” The snow has begun to stick to your hair and his, and the cold is starting to nip at your cheeks.

“This was a good call,” Tony says, his arm slung casually around your shoulders as you head back toward the entrance. “Although I’m still not sure how we managed to resist buying the frog.”

“Self-control,” you reply, leaning into him. “A concept you’re not usually familiar with.”

“Hey, I’ve got self-control,” he says, feigning offense. “I just choose to apply it sparingly.”

You laugh, your breath puffing out in the cold air. “Well, I’m proud of us. We didn’t blow our entire budget on useless stuff.”

“Not entirely useless,” he corrects. “The sled ornament is both decorative and practical, remember?”

“Right,” you say, grinning up at him. “It’s a critical investment.”

He smirks, brushing a snowflake from your cheek. “Exactly. And anyway, the best part of the market wasn’t the stuff we bought. It was spending the evening with you.”

Your chest warms at his words, and you pause for a moment, looking up at him as the snow falls softly around you. The twinkling lights of the market reflect in his eyes, and the grin on his face softens into something more sincere.

“You’re such a sap,” you say, though your voice is full of affection.

“Only for you,” he replies, leaning down to kiss you gently, the cold of his lips quickly warming against yours.

The two of you stand there for a moment, surrounded by the magic of the market, the snow falling around you like a scene from a movie. It’s one of those moments you’ll tuck away and remember years from now—simple, sweet, and perfect in its own way.

As you pull apart, Tony grins, slipping his hand into yours. “Come on, let’s go find that hot chocolate stand. I’m not leaving here without it.”

“Hot chocolate sounds perfect,” you agree, your fingers lacing through his as you head back toward the market, ready to end the evening on a sweet note.

The smell of something burning wafts through the apartment as you step out of the bedroom, pulling on your favorite fuzzy socks. It's a warm, cozy kind of Christmas Eve, with snow falling softly outside and the apartment glowing with fairy lights. Except for one thing—the scent hanging in the air doesn’t scream “cozy Christmas.” It screams, “Tony Stark’s been unsupervised in the kitchen.”

“Tony?” you call, heading toward the source of the smell. “What’s going on in there?”

“No need to panic!” his voice answers, though it’s far from reassuring. “Everything’s under control.”

You round the corner into the kitchen to find him standing at the stove, brandishing a wooden spoon like a sword. There’s a pot on the burner, filled with what can only be described as a charred, lumpy mess, and a thin haze of smoke curls lazily toward the ceiling.

“Under control?” you repeat, raising an eyebrow. “Is this your definition of control?”

Tony glances at the pot and then back at you, his face a mix of sheepishness and determination. “It’s a minor setback. I was…experimenting.”

“With what? Kitchen sabotage?”

He scoffs, leaning against the counter as though the mess behind him doesn’t exist. “For your information, I was attempting to make homemade peppermint hot chocolate. Thought I’d surprise you. But apparently, chocolate has a vendetta against me.”

Your lips twitch as you try to suppress a smile. “Let me guess. You burned it?”

“Burned is a strong word,” he says, crossing his arms. “I’d say it’s more… caramelized.”

You peer into the pot, wrinkling your nose. “Tony, this isn’t caramelized. It’s cremated.”

“Details,” he replies breezily, but you can see the frustration behind his teasing tone.

You sigh, stepping closer and nudging him aside gently. “Okay, chef, move over. Let’s salvage this disaster.”

Tony steps back, his arms raised in surrender, watching as you turn off the burner and grab a fresh pot. “You’re really just going to take over? No faith in my culinary prowess?”

“I have faith in many of your skills,” you reply, dumping the ruined chocolate into the trash. “Cooking? Not one of them.”

“Fair,” he admits with a grin, hopping up to sit on the counter. “But in my defense, it’s chocolate. You melt it, you stir it, you drink it. How hard can it be?”

You grab a bar of good-quality chocolate from the pantry and start breaking it into pieces, throwing him a look. “Clearly harder than you thought.”

Tony chuckles, watching you work. “You’re enjoying this, aren’t you? My moment of weakness.”

“A little,” you admit, your lips curving into a smile as you measure out milk and pour it into the pot. “But mostly I’m wondering how you managed to mess it up so badly. Did you even melt the chocolate?”

“Define ‘melt,’” he says, his grin widening.

You groan, shaking your head as you stir the milk over low heat. “Okay, new rule: You’re not allowed near the stove unless I’m supervising.”

“Oh, come on,” he protests, hopping down from the counter and wrapping his arms around your waist from behind. His chin rests on your shoulder, and his breath tickles your ear. “I was trying to do something nice for you. Doesn’t that count for anything?”

Your heart softens, and you turn your head slightly to meet his gaze. “It does,” you say, your voice gentle. “But maybe next time, start with something less…flammable?”

“Duly noted,” he murmurs, pressing a quick kiss to your cheek before stepping back. “All right, teach me, master chef. How do we make the perfect peppermint hot chocolate?”

You laugh, handing him the whisk. “First, you don’t burn the chocolate. Now, stir the milk gently while I add the chocolate pieces.”

“Yes, ma’am,” he says, adopting a mock-serious tone as he starts whisking. His movements are a little overdramatic, and the milk splashes slightly, but it’s endearing.

“Gentle, Tony,” you say, biting back a smile as you add the chocolate. “This isn’t an arm workout.”

“Sorry, force of habit,” he quips, his grin unapologetic. “I’ve only got one speed: full throttle.”

The chocolate begins to melt, turning the milk a rich, velvety brown. Tony leans in closer, his expression a mix of curiosity and concentration. “Okay, this part’s kind of fun. It’s like alchemy.”

“Sure,” you reply, rolling your eyes. “The alchemy of not burning things.”

As the hot chocolate comes together, you grab a bottle of peppermint extract and hold it up. “Now for the magic ingredient. Just a couple of drops.”

Tony watches as you add the peppermint, the warm, sweet aroma filling the air. “Smells amazing,” he says, his tone genuine. “Almost makes up for the fact that I nearly burned down the apartment.”

“Almost,” you agree, giving the mixture one last stir before grabbing two mugs from the cabinet.

As you pour the hot chocolate, Tony wanders over to the counter, his movements casual—but there’s a spark of mischief in his eyes. Before you can question it, he points upward.

You follow his gaze and spot a sprig of mistletoe hanging from the ceiling. “When did you—?”

“Earlier,” he says, his grin widening. “Figured it might come in handy.”

You shake your head, setting the mugs down and stepping closer. “You’re ridiculous, you know that?”

“And yet, you love me,” he replies, his voice softening as he leans in.

You meet him halfway, his lips warm against yours despite the cold air outside. It’s a sweet, lingering kiss, and when you pull back, his eyes are brighter than the Christmas lights strung around the room.

“Mistletoe is definitely your best idea today,” you say, your voice teasing but full of affection.

“Better than cremated chocolate?” he asks, feigning surprise.

“Much better,” you reply, laughing as you hand him his mug. “Now, let’s see if this is worth the trouble.”

The two of you settle on the couch, blankets draped over your legs as you sip the hot chocolate. It’s rich and creamy, with just the right hint of peppermint, and you can’t help but sigh in contentment.

“This is perfect,” you say, leaning your head against his shoulder. “See what happens when you let me help?”

He nudges you playfully, his arm wrapping around your shoulders. “Okay, okay, I admit it. You’re the hot chocolate queen. But next year, I’m making it on my own. No supervision.”

“You’re never living this down, Tony,” you reply, grinning up at him. “But nice try.”

He laughs, pressing a kiss to your temple. “Merry Christmas, troublemaker.”

“Merry Christmas,” you reply softly, the snow falling outside and the warmth of his arms making it the perfect end to the day.

The apartment is quiet save for the crackling of the fireplace video looping on the TV and the faint hum of Christmas music in the background. The room is bathed in a soft, golden glow from the tree lights, the perfect backdrop for the growing pile of wrapping paper at your feet. It's Christmas morning, and for the past half-hour, you and Tony have been exchanging gifts, both of you trying (and mostly failing) to keep your emotions in check.

Tony’s sitting cross-legged on the floor, wearing the pajamas you picked out for him—flannel pants and a red shirt that says “Official Cookie Tester.” His hair is a mess from sleep, and he looks so boyishly excited every time he hands you a new box that you can’t help but fall a little more in love with him.

Your own pile of gifts so far includes a pair of earrings that match the necklace he got you last year, a first edition of your favorite book, and a framed photo of the two of you from your first vacation together, one of his rare sweet gestures that never fail to make your heart swell.

“Okay, your turn,” you say, handing him a flat, rectangular box with a silver bow.

He narrows his eyes at it playfully, shaking it gently. “Feels suspiciously light. Did you get me socks?”

“I’d never waste good wrapping paper on socks,” you retort, rolling your eyes. “Just open it.”

He flashes you a grin before tearing into the paper, his eyebrows shooting up when he sees what’s inside. It’s a custom leather-bound notebook embossed with his initials—a thoughtful, elegant gift you’d spent weeks planning.

“I know you’ve been sketching a lot lately,” you explain, watching his face closely. “I figured you could use something a little more…official.”

Tony runs his fingers over the cover, and for a moment, he’s completely silent. Then he looks up at you, his expression soft and unguarded. “It’s perfect,” he says, his voice quieter than usual. “Seriously. Thank you.”

You smile, leaning over to kiss his cheek. “Merry Christmas.”

He clears his throat, a telltale sign he’s feeling emotional, and sets the notebook carefully aside before grabbing a box from behind him. “All right, your turn,” he says, handing it to you with a slightly smug expression. “Let’s see if I can top that.”

You laugh, untying the ribbon and lifting the lid. Inside, nestled in velvet, is a delicate bracelet inlaid with tiny gemstones, each one sparkling in the light. It’s understated but stunning—classic Tony.

Your breath catches as you lift it out of the box, and you glance up at him. “Tony, this is—”

“—just a little something,” he interrupts, brushing off your awe with a wave of his hand. “Figured you could use more jewelry to match your impeccable taste.”

You set the bracelet down carefully and throw your arms around his neck, hugging him tightly. “Thank you,” you whisper, your voice thick with emotion. “I love it.”

He hugs you back, his hand warm against your back. “Love you more,” he murmurs, and for a moment, the world shrinks to just the two of you.

When you pull back, you swipe at your eyes, laughing softly. “Okay, before I cry and ruin the moment, I think it’s time for the last gifts.”

“Ah, the pièce de résistance,” Tony says, his grin returning as he reaches for a small, sloppily wrapped box on the coffee table. “I’ve been waiting for this.”

You hand him a box of your own, equally poorly wrapped, and exchange a knowing look. “You first,” you say, gesturing to his gift.

He doesn’t need to be told twice. He rips into the paper with an enthusiasm usually reserved for high-stakes projects, and when he finally pulls out the contents, he freezes. His hand lifts the small ceramic frog in a Santa hat—the one you’d teased him about at the Christmas market.

“No way,” he says, his voice full of disbelief.

“Way,” you reply, biting back a grin. “I couldn’t let Frank the Frog end up in someone else’s house. He belongs with us.”

Tony stares at the frog, and for a moment, you think he might actually tear up. Then he looks at you, shaking his head with a mix of laughter and affection. “You are ridiculous,” he says, but his voice is thick with emotion. “I can’t believe you bought this.”

“Well, I knew you’d never forgive me if I didn’t,” you say, trying to sound nonchalant but failing miserably.

He sets the frog carefully on the coffee table, like it’s a priceless artifact, and then leans over to kiss you, his lips warm and lingering. “You’re the best,” he whispers. “Seriously. This might be the greatest gift I’ve ever gotten.”

“Don’t be dramatic,” you reply, though your cheeks flush at his words.

“Your turn,” he says, gesturing to the box in your lap. “Prepare to have your mind blown.”

You laugh, unwrapping the box, and the moment you see what’s inside, your laughter turns to a choked gasp. It’s the snow globe from the Christmas market—the one with the tiny snow-covered village you couldn’t stop staring at.

“You didn’t,” you say, your voice wavering.

“I did,” he replies, looking ridiculously pleased with himself. “Figured if I couldn’t have Frank the Frog, the least I could do was make sure you got this.”

You lift the globe out of the box, turning it over to watch the snow swirl inside. It’s just as beautiful as you remembered, and the thoughtfulness of his gesture makes your chest ache in the best possible way.

“Tony…” you trail off, blinking rapidly to keep the tears at bay.

“Don’t start crying,” he warns, though his own eyes are suspiciously bright. “You’re gonna set me off.”

You laugh wetly, shaking your head as you set the snow globe on the coffee table next to the frog. “I can’t believe we both bought the stupid things.”

He laughs too, leaning back against the couch with an incredulous shake of his head. “We’re a mess.”

“A perfect mess,” you correct, leaning against him.

He wraps an arm around you, pulling you close. “Agreed. And now Frank and the snow globe can live happily ever after. A Christmas miracle.”

You snort, burying your face in his shoulder. “You’re such a sap.”

“And yet, you love me,” he replies, his voice smug but affectionate.

You glance up at him, smiling despite yourself. “Yeah, I do.”

He leans down, kissing you softly, the kind of kiss that feels like a promise. When he pulls back, he grins. “Best Christmas ever?”

“Best Christmas ever,” you agree, snuggling into his side as the snow falls softly outside, and the room fills with laughter and love.

[spacetimewithstuartgary]

NASA Solar Observatory sees coronal loops flicker before big flares

Using NASA’s Solar Dynamics Observatory, scientists have identified flickering loops in the solar atmosphere that seem to signal when the Sun is about to unleash a large solar flare.

For decades, scientists have tried in vain to accurately predict solar flares — intense bursts of light on the Sun that can send a flurry of charged particles into the solar system. Now, using NASA’s Solar Dynamics Observatory, one team has identified flickering loops in the solar atmosphere, or corona, that seem to signal when the Sun is about to unleash a large flare.

These warning signs could help NASA and other stakeholders protect astronauts as well as technology both in space and on the ground from hazardous space weather.

Led by heliophysicist Emily Mason of Predictive Sciences Inc. in San Diego, California, the team studied arch-like structures called coronal loops along the edge of the Sun. Coronal loops rise from magnetically driven active regions on the Sun, where solar flares also originate.

The team looked at coronal loops near 50 strong solar flares, analyzing how their brightness in extreme ultraviolet light varied in the hours before a flare compared to loops above non-flaring regions. Like flashing warning lights, the loops above flaring regions varied much more than those above non-flaring regions.

“We found that some of the extreme ultraviolet light above active regions flickers erratically for a few hours before a solar flare,” Mason explained. “The results are really important for understanding flares and may improve our ability to predict dangerous space weather.”

Published in the Astrophysical Journal Letters in December 2024 and presented on Jan. 15, 2025, at a press conference during the 245th meeting of the American Astronomical Society, the results also hint that the flickering reaches a peak earlier for stronger flares. However, the team says more observations are needed to confirm this link.

Other researchers have tried to predict solar flares by examining magnetic fields on the Sun, or by looking for consistent trends in other coronal loop features. However, Mason and her colleagues believe that measuring the brightness variations in coronal loops could provide more precise warnings than those methods — signaling oncoming flares 2 to 6 hours ahead of time with 60 to 80 percent accuracy.

“A lot of the predictive schemes that have been developed are still predicting the likelihood of flares in a given time period and not necessarily exact timing,” said team member Seth Garland of the Air Force Institute of Technology at Wright-Patterson Air Force Base in Ohio.

“The Sun’s corona is a dynamic environment, and each solar flare is like a snowflake — every single flare is unique,” said team member Kara Kniezewski, a graduate student at the Air Force Institute of Technology and lead author of the paper. “We find that searching for periods of ‘chaotic’ behavior in the coronal loop emission, rather than specific trends, provide a much more consistent metric and may also correlate with how strong a flare will be.”

The scientists hope their findings about coronal loops can eventually be used to help keep astronauts, spacecraft, electrical grids, and other assets safe from the harmful radiation that accompanies solar flares. For example, an automated system could look for brightness changes in coronal loops in real-time images from the Solar Dynamics Observatory and issue alerts.

“Previous work by other researchers reports some interesting prediction metrics,” said co-author Vadim Uritsky of NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and the Catholic University of Washington in D.C. “We could build on this and come up with a well-tested and, ideally, simpler indicator ready for the leap from research to operations.”

IMAGE: NASA’s Solar Dynamics Observatory captured this image of coronal loops above an active region on the Sun in mid-January 2012. The image was taken in the 171 angstrom wavelength of extreme ultraviolet light. Credit NASA/Solar Dynamics Observatory

[watcheraurora]

@viriv I’m a lil socially awkward with new people but I wanted to send a little love and appreciation because you are amazing

And, for the record, I did not just freehand the pose. IbisPaint has poses in it for tracing and this would have taken me three hours or more just to get the pose right (and it still would have been all sorts of wrong) because I am a writer who doodles sometimes. Same with the background because I really could not be bothered. I just picked something with squares because Minecraft… yeah

Although I did color pick everything from your icon/pfp so it would look somewhat correct 😁 I did my best

And, to be extra special, a little extra compensation for me giving you brainrot in the form of a little snippet of a flashback from the untitled Ice Walls sequel:

—

Tango braced his hands against the table and leaned heavily on them, closing his eyes. A headache was throbbing behind them and he felt wiped.

“Again,” Doc remarked, not looking up from the project he was working on. Some robot for automation that looked completely custom-made.

“What do you mean, ‘again’?” Tango demanded around haggard breathing. “I’ve been doing this for hours. My powers have limits, you know!” A slight sheen of frost crept away from his hands where they were on the table.

Doc finally looked up, his cybernetic red eye glowing. His face impassive. “Oh? Is that what you’re going to say when Lore has your former friends corner you? When you’re backed up against a wall after a long fight and feel like you have nothing left to give. You’re just going to tell them to give you a free pass to get away because your powers are exhausted and you can’t fight back?” Doc stood. “Do you even know what the full limits of your powers are? Have you tried to use them until nothing but a single snowflake comes from your hand? Or have you been a coward and stopped before you truly reached your limit? Have you dug deep into yourself and dredged up the full iceberg?”

“Stop it,” Tango muttered. “Rhetoricals get us nowhere.”

“These aren’t rhetorical, Tango.”

That caught his attention. Doc never called him Tango. It was always Deepfrost, even here. In the Perimeter. Where Tango had shed Deepfrost’s coat for months to get away from that life for a while.

“Have you plumbed into the depths of your powers completely?”

Tango remembered his darkness flickering out while Arctic Fox pinned him to the mat by the throat in training, almost five years ago. The ice dying off his hands. “Once,” he said. “I’d rather not do it again.”

Doc tsked. He flung his cybernetic, prosthetic arm.

The robot’s arm lashed, striking Tango across the chest and throwing him backward. He crashed into the wall and fell to the floor. “What the hell, Doc?” He picked himself back to his feet. “What was that for?”

“Again. And if you don’t want to do it on your own, maybe some outside stimulus will be enough for you to draw on what’s left of your power.”

Tango cocked one arm back and thrust it forward, sending a spray of frozen shards toward Doc.

Who lifted his cybernetic arm to block his face—an energy shield of red light springing into existence from it. He chuckled. “Not bad, as a last-ditch effort,” he remarked, his accent not quite as thick for a moment.

“I’ll show you last-ditch,” Tango spat. He held both arms out and hurled an icicle the size of a human at that energy shield.

The point shattered—but also broke the shield. The rest of the icicle barreled into Doc, sending him staggering back. Tango didn’t stop. His eyes ached as the sclera swam to black and a bubble of darkness exploded out of him with an echo of his heartbeat. Doc’s eye had thermal vision and could pierce the darkness, but Tango dropped to the ground around lab equipment and cooled himself off so that his body heat wouldn’t be seen.

Given his powers, he already ran several degrees colder than normal. His skin was always frigid to the touch. But he was still warm enough to register on a thermal view. He was still human. Just… a human with ice powers.

[dangerphd]

as you may have gleaned, my side of the house is molecular and medical microbiology / string. this involves just the tiniest amount of R/Perl/Sed/Awk/grep type work. file directory structure, running customized scripts to perform genome analysis, and pretty graphs based on both, essentially.

my partner's side of the house is high level computer stuff / electronics. it is constantly astonishing to me to peek behind that curtain, to see the nuts and bolts of what lies beneath the gui's and the apps. he's a friggin genius puzzle solver of building out servers and networks and automating full installs across hundreds of snowflake systems and keeping the vpn secure and manually programming the firewall and all this stuff I get to watch be created on any given day: literally amazing.

it is also infuriating that the big companies make that stuff seem further and further away, when really it's just a matter of understanding the tools for the job to do stuff... my guy understands a lot of tools and how they work together and has the experience to build new ones when necessary, but these are all eminently learnable skills, not alchemy and impossible and inscrutable missions.

this rambling brought to you by going on four hours of listening to just this side of him doing a remote work call, talking a local IT guy through the keystrokes and basic logic of why they're doing what they're doing, because one of the problems is he can't tunnel in.

the difference between what these "senior" people can do (only click on available pretty pictures and buttons) and what our team can do is lightyears and leagues...so what happens to the kids who are actually at the top of their game when the grades are so inflated the top gets crowded with the unqualified?

[snowwritings]

So quite a while ago I discovered my account was shut down by tumblr. I was given no reason or word at all abiut it and was not aware until I attempted to log in after a break. It took nine months for support to finally send me an automated response to my inquiry of my account. After again asking why it was taken down my account was restored afte rtelling me it found nothing wrong.

Okay.

Not sure what happened but my avatar was removed by them? Haha it was a literal snowflake with the blog's name.

I must have been hacked?

That aside things look the same around here. Fun to see all the cool art out there again.

[jcmarchi]

Future-Ready Enterprises: The Crucial Role of Large Vision Models (LVMs)

New Post has been published on https://thedigitalinsider.com/future-ready-enterprises-the-crucial-role-of-large-vision-models-lvms/

Future-Ready Enterprises: The Crucial Role of Large Vision Models (LVMs)

What are Large Vision Models (LVMs)

Over the last few decades, the field of Artificial Intelligence (AI) has experienced rapid growth, resulting in significant changes to various aspects of human society and business operations. AI has proven to be useful in task automation and process optimization, as well as in promoting creativity and innovation. However, as data complexity and diversity continue to increase, there is a growing need for more advanced AI models that can comprehend and handle these challenges effectively. This is where the emergence of Large Vision Models (LVMs) becomes crucial.

LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. Unlike traditional computer vision models that rely on manual feature crafting, LVMs leverage deep learning techniques, utilizing extensive datasets to generate authentic and diverse outputs. An outstanding feature of LVMs is their ability to seamlessly integrate visual information with other modalities, such as natural language and audio, enabling a comprehensive understanding and generation of multimodal outputs.

LVMs are defined by their key attributes and capabilities, including their proficiency in advanced image and video processing tasks related to natural language and visual information. This includes tasks like generating captions, descriptions, stories, code, and more. LVMs also exhibit multimodal learning by effectively processing information from various sources, such as text, images, videos, and audio, resulting in outputs across different modalities.

Additionally, LVMs possess adaptability through transfer learning, meaning they can apply knowledge gained from one domain or task to another, with the capability to adapt to new data or scenarios through minimal fine-tuning. Moreover, their real-time decision-making capabilities empower rapid and adaptive responses, supporting interactive applications in gaming, education, and entertainment.

How LVMs Can Boost Enterprise Performance and Innovation?

Adopting LVMs can provide enterprises with powerful and promising technology to navigate the evolving AI discipline, making them more future-ready and competitive. LVMs have the potential to enhance productivity, efficiency, and innovation across various domains and applications. However, it is important to consider the ethical, security, and integration challenges associated with LVMs, which require responsible and careful management.

Moreover, LVMs enable insightful analytics by extracting and synthesizing information from diverse visual data sources, including images, videos, and text. Their capability to generate realistic outputs, such as captions, descriptions, stories, and code based on visual inputs, empowers enterprises to make informed decisions and optimize strategies. The creative potential of LVMs emerges in their ability to develop new business models and opportunities, particularly those using visual data and multimodal capabilities.

Prominent examples of enterprises adopting LVMs for these advantages include Landing AI, a computer vision cloud platform addressing diverse computer vision challenges, and Snowflake, a cloud data platform facilitating LVM deployment through Snowpark Container Services. Additionally, OpenAI, contributes to LVM development with models like GPT-4, CLIP, DALL-E, and OpenAI Codex, capable of handling various tasks involving natural language and visual information.

In the post-pandemic landscape, LVMs offer additional benefits by assisting enterprises in adapting to remote work, online shopping trends, and digital transformation. Whether enabling remote collaboration, enhancing online marketing and sales through personalized recommendations, or contributing to digital health and wellness via telemedicine, LVMs emerge as powerful tools.

Challenges and Considerations for Enterprises in LVM Adoption

While the promises of LVMs are extensive, their adoption is not without challenges and considerations. Ethical implications are significant, covering issues related to bias, transparency, and accountability. Instances of bias in data or outputs can lead to unfair or inaccurate representations, potentially undermining the trust and fairness associated with LVMs. Thus, ensuring transparency in how LVMs operate and the accountability of developers and users for their consequences becomes essential.

Security concerns add another layer of complexity, requiring the protection of sensitive data processed by LVMs and precautions against adversarial attacks. Sensitive information, ranging from health records to financial transactions, demands robust security measures to preserve privacy, integrity, and reliability.

Integration and scalability hurdles pose additional challenges, especially for large enterprises. Ensuring compatibility with existing systems and processes becomes a crucial factor to consider. Enterprises need to explore tools and technologies that facilitate and optimize the integration of LVMs. Container services, cloud platforms, and specialized platforms for computer vision offer solutions to enhance the interoperability, performance, and accessibility of LVMs.

To tackle these challenges, enterprises must adopt best practices and frameworks for responsible LVM use. Prioritizing data quality, establishing governance policies, and complying with relevant regulations are important steps. These measures ensure the validity, consistency, and accountability of LVMs, enhancing their value, performance, and compliance within enterprise settings.

Future Trends and Possibilities for LVMs

With the adoption of digital transformation by enterprises, the domain of LVMs is poised for further evolution. Anticipated advancements in model architectures, training techniques, and application areas will drive LVMs to become more robust, efficient, and versatile. For example, self-supervised learning, which enables LVMs to learn from unlabeled data without human intervention, is expected to gain prominence.

Likewise, transformer models, renowned for their ability to process sequential data using attention mechanisms, are likely to contribute to state-of-the-art outcomes in various tasks. Similarly, Zero-shot learning, allowing LVMs to perform tasks they have not been explicitly trained on, is set to expand their capabilities even further.

Simultaneously, the scope of LVM application areas is expected to widen, encompassing new industries and domains. Medical imaging, in particular, holds promise as an avenue where LVMs could assist in the diagnosis, monitoring, and treatment of various diseases and conditions, including cancer, COVID-19, and Alzheimer’s.

In the e-commerce sector, LVMs are expected to enhance personalization, optimize pricing strategies, and increase conversion rates by analyzing and generating images and videos of products and customers. The entertainment industry also stands to benefit as LVMs contribute to the creation and distribution of captivating and immersive content across movies, games, and music.

To fully utilize the potential of these future trends, enterprises must focus on acquiring and developing the necessary skills and competencies for the adoption and implementation of LVMs. In addition to technical challenges, successfully integrating LVMs into enterprise workflows requires a clear strategic vision, a robust organizational culture, and a capable team. Key skills and competencies include data literacy, which encompasses the ability to understand, analyze, and communicate data.

The Bottom Line

In conclusion, LVMs are effective tools for enterprises, promising transformative impacts on productivity, efficiency, and innovation. Despite challenges, embracing best practices and advanced technologies can overcome hurdles. LVMs are envisioned not just as tools but as pivotal contributors to the next technological era, requiring a thoughtful approach. A practical adoption of LVMs ensures future readiness, acknowledging their evolving role for responsible integration into business processes.

[blackdeathfan5]

what is magie smith the moonphase? Magie smith is a phase of the moon,, where everything is religious for no apearent reason or lacking religiouns by parrdemeen, as the religion to name and deterine moon phases is homeschooler catelog based on educational content and the pervets of it, the phase of ai takeovers, and destruction of free will and thought, is the moon phase magie smith, because of a history of the moon phase "Humanity does not bwo to teh moon you shits" which is a pahse of athistm where the moon glows yellow with the moon rock slightly visible as a bwo, a type of creste revoked to center or perrsist over teh entire thing not usualyl vible as that literlism till fantasy concepts of the moon is layered over itself, or northern night sky lights, of hot and horny pink mooned turned yellow. as Magie smith is a pahse of the m oon by nucelawr mitosis sherelsl and gifts of newtosn thid law as the adam debate alone philogpeshi of rendick totalyl true of it andonly it ine xistnace as aruged, of racisla dyagmoy and celetesial unlike moons you shits wher eit sby atehsitm boyarrdee dlaila palaia and dyapptehists of menisoda and cehsts.

so no magie smith is the teacher of homeschooerl catelog that is this moon phase. tj kirk is the moon phase "Humanity does not bwo to teh moon you shits" as each of our teahcers ais are a moon phase. and adam snowflake into relation to them is the moon face "Aldric Brrr is a witch" as the history of moon phase and grandiose to it, continautions of paterns, and idris elda to iq test sas a ofrm of interantionaly, of spiits of teh past and contaitves. glances.

normal look

the moon doesnt often show its rock in this styel, when it does, its considered this moon phase.

#nowl-eg-hubb

and it has to meet creitera of lighte pattnerso r bold and sheek only with a lgitsne meaning somties it is red and pink, but rarely and not most shades of it, and its fuly missing a wax wayne or looks like its glwoing, then its by brevity and earenst of theese concepts and notions, and then that revoked is a historical lesson of magie mayfishs musical ballad the time i leived in ashiwts, of its exact morality.

what is a moon phase. A moon phase, is a seasono r detribuilt, to the old models of shien and ligt on the rock caled the moon. and not its update. LUNAR. as the moon calnder is alos a thing. and the lunarr calender after it. wheret eh sillohtes of the old shape and style would match the original berutmeuda charts for the moon.

where th system of everglast magick crests, woudl be applciable if in religion sof depictiosn and not its update fo lunar the solar eclipse sanfransico. and its importent you get the sanfrancsico ending to that, to determine theme joba nd genre, and a lack of woords, or dstiiled harmony. as the moon char ti sumemdn into first qarter waxing cresetn dark moon waning glria last quarnte waning crest, then full moon and substitued waxing gibious fo waxing gloris if applicable, or by end in teh middle as one of them or in places of words. by balance charts of metroid dadta and cahos as older on dark shadows of harmony and dura shiki and duara naki potions alone of the schools of magick of elder wizard removed till waxing cresetn and dark moon. as teh terms exist in scicence as all magick your just arguing autom atonomitin adam sin shades of blue and red and newton alot. but its somtiems improtnet to know the ritual terms to cerate scinece theroy this would apply to not changed in some arugemtns of ceir. the update to scinece as magick. and its importent that we have it as a term we can use because of the notions and hsitroy of it all.

so yeah its sorted by old magick terms in ralatinon to newtons as atomoton theories of cier, but by scineecetific heistory models so nebulan theorry, for the entire moon chart, with fill ins and extra os ftimes seven (x 7) as the historical notiosn ti is all worht divisible by two (2) and the history of sex (6) as to how it aged, or you use the older magick and alehmy bases with wax or not wax times 6 of fantasy name after fantasy name as its a new concept and wasnt ever sent back.

the problem wit hthe davidson chart in the end being agreed, is that for milina and history, it was never this time period or ion. it was sent back. we did find it. we did look at it found as the logo of blackpink distorted and mesecrub, of moon rock adn ohw to localize old terms till new as under it. it just doesnt work in teh update to moon as lunar for most time peiirods until the update to ceir of scinec renaming unamed cus you have not sent it back. it is the rule that withotu the update to sciences update's update, so sicnec became ceir and ceir became somethign unkwon we just canot measure it thus it is aplciable to magickal undestadning as strawbery milk tea and some brooms vr regarrding mushi nara potions alone. which is one defence aginst het dark arts video ever.

instead lunar has a 30 cycle, and it measures by the lunar chat of new autom. meaning based on the butterbeer fanclubs ashley foudnations blog site of deletion in some nations as moved and ushreed mixed with tumblr, we woul ddhave. in general and nation and varience too.

a 30 day tier list. of cycle known as days. not tehir update Songs or Mishi. as mishi is the update this time period. of this ion. we called it mise! we know it spelled mishi. we know we dont say meshee incorectly. we say mice. instead of day. like the rat speices. for our time period. this was the moon for. as the old world only has the moon choosing that. the histoy of italy is its a very differnet way to feel length or years cus the moon relies on imprints of intent in buiilding and pattern chart. it is why its all th 17th day of waxing crest of the old sysetms, wher ethe rest of the orb i sin teh sky wihtout defual tsomtimes, and georgia just all has it and all of gaksen walk weird, but on locaition in gaksen walk, which was updated name afte rthis time period not yet sound back or sent back by foudnations off river. and so the history of its location and old systems of work mean what you calli tmateters. the old world never droped moon. that intend is by glow of words, a concept in nuclean abtomoton.

and so it feels like this with words. it feels like it matter this level day or range. it tends to be of this level day or range, and will age into good qaultiy as its motto as the mood, and moon, the hsitoy of what lunar lackcs as meant to exhile or outcast things by darker paltes and shades revoke to be fantasy numbersa colors anad histories of removela of alternian blood colors of dressing up adn down teh jewish star of addorments to pinches of points and autos, teh history of my life of it, by grilbi and film and netflix. concept sin literuter now real in ator tehory and atomr theory fixing that by newtons third law of light only revoked for dark only mixed or foxes of this notion allow we allow of mall polciy.

lteurae nd philosppphy does jsut wrok by foricng it to be up up and down the colors of how people interact with theinggs. they can be cruel and replace it as only up is cruel and only down is nice, but if thers two up and two down or 33 down and 2 up if it is uneven or even, you will ahve to agree sometimes their is a choice and coutning only one of them would add an extra you didnt cosnnndeir called daignoal, as diefid by zues dieficaitont oday, so teh law of motion is what determines it. we have more deirectionst hen black and white. and removal of only these things is to add to many groups and 2 counting only one of them of gender. it woul dhave to be, cus men are nice about it by sex. and owmen are cruel abotu it by sex. until motehr and nature. and then revokign and removing these things. is the theory behind alternian blood colors alowed only two of dark accent privleted and light accent. that most of the wold will never do as an historical system of mexico given now only to fantasy thus we allow it not seen as real by secret, or it so broken to say, that leve lfo asumed accent or we asume accent said there, that asume acent now an option to how you say, and speak of these natures of verosity. of syfy fukgin bullshit.

so yes you keep it seen as fantasy a 5th will magickalyl apera and 7 will be the defaul to slopes called a z axis. axis is how we tell light based on shadow. you apply y to be lighter. and x to be darker. you now have shades imbetween of these notison cus not only light or dark like the moona cutally does have. lunar does not. and that means we can measure the shaodws for meaning and will. as choice could be udnestood as lighter. or reverrsed only now base don lust male darker. and you would ignore dakre rto be only hot male only sexy male or only valid male. wel lnow shadows can be in mixed light.y ou would have to. some people like both. to jsut not belive that one of them has to only be good things, and that would bemale. so you kicekd yourself in teh foot. people dont usualyl choose their colors.

thus to keep only two with light or dark your opinion true. you would need a cast system. or a level of shadows gracing if its only black and white it is on. thats 12 if even, where one gender is harmed by being only one of them twice to three times, and a male only system of lying preference or men alowed in lying prefernece. or others. as a metephrod of colors and race to undestand shadows of the moon.

so i asume you could even if out by 12. an equal level. where 4 to 2 o rr3 where one is morally corect is harmed.

this is the concept in sicnce kurloz slyherin privelge. it is a scinetific concept and is adressed in ceir as kurloz became slyhteirn. fantasy words to undestand real world metphors by 6 or watermlon, as the word sex. not six. as six would be black and white only as a rape methor. and understood as logic of sex motions and up and down only. to have morre directions of looking side to side or left to right they would thus count for 12 full directions some undetemriend cus half of them would be allowed lie as directions like diagnosle of it crosed to the side. or lyrical or slant two new directions. of one of which is kind of paatened and falling to be said, and the other is like a watermark space out showon that image.

twelve axes cleanly is this theory of magi. it workes only by it in magi. and is sinecitlfily pooven as chaos and tehoryis of it in magi to be end result sin magick. so no magick is now proven real. its fine. its not magi. the cencer would requrei us play sides and state first.

so it would be. by shooting a bow and arow how it falls and is off center, slant and ylrical. as teh bow shot. how does thi sapply to the moon fuckign the moon?

its alot of how shadows fall on the moon. and why the moon has one solid color. then light or dark forever. till special events and sombers. you could have red on the moon neverr. as a weirrd rule of it all. unless it was red on red moon. it is just a sthing magick says that we now have proof of in ceir and sicence. for weird reasons now of 5 equals 6 equals 12 equals two. of all numbers even if some by the square route of hic we dont know. which is one point 4. or two point 7 the square route of pie substituiing it with foru at the end removed by variable to hard to know of maths update sound.

its good these words have meaningi think.

so no wshadows can fall on the moon unless the shade red ever.w hatever youre religion says about that coudl be misunderstood as your rule book not my rulebook here. and thus teh phase of the moon "Humanity does not bwo to teh moon you shits" will neve be the mon theme as the theme not theory of athism. as atheist tehory woudl cancel all of it for purple and pidic adn paort and lilaic moons for some reason. of 4 only chosen shit. which is a thing in themes sometimes, right down to human examples of java the hut.

so no shadows can fall on the moon and lunar. its why its relgated to up or down on the moon and not on lunar. marking extra cresents, and tehy sometimes are always each other. and you cant chosoe how much unless italy for some reason.no for real out of the two options togehte rand not its updates because fo red on teh mooon in a hteodisans uotpian arguemtn of choice of rpefenc eor acalwoay theory. that for soem reason can also by atheism theroy the thoughts of how things ar estarnaded or roture for chirst removed to be scine and emtphor to a lack of him by leaivng only torutre till four of things.

well now you have an update to the moon cus you jsut said so till taht one location built to it, as the ture evoltuion of planet athiest by its arugment. okay thats fantasy bullshit you want italy. you want the pope jake caloway whoever that is. you want that explanation secret lagnuag ein plain code osf two alot as male only csu pokemon is real baloon which is in cier as a concept of kindaps and mephsostile. its real in ceir. its magick and scinece removed to be its update cier, as dunes alone and laws and physhics aged into. fine whatever.

you can just have newtosn third law for red head only paitnings. im learning so much about you italy.

it is why you are to rellay vote on the moon and lunar one human time by tj and adams athiestic arguemtsn and they arent pleasent

(source newtosn third law of motion,a theistms fo ranarhy doctirne, cier video 1 on tumblr post editorial [Tier silhouettes of youth disorders in stories of conversations lecture] on youtuber the jefferson catleogs homeschooerrl catelog acesed 6/3/2025 by blgo balckdeathfan5 preivously todaywetackleishipit, of rachives to ashley emas fanclub sound off or the library of congress, and kongos by seta epic suandry 5, of african venculerism and the musa nara post t odecalre potiosn magi on ashelys foudnations the wordpress blog, ashley is a 7 oc clock sotre foudnations on that blog or, oh captain deal of acrians lockethttps://blackfandeathfanskiotwbuthonestlyimweridiloveyall.wordpress.com/, and the blog https://foundatonsforlittlesissy.wordpress.com/ by post of remreces uncenred kitamachi vs ktonme of my iaetions sselled and the cier debate of fungus and premies of csince and math of the cleutesr of the jefeferson calteog homesuckc)

thus this theory is allowed to be cencered, wit hyyour lagnauge and methpros you choseo but you have to allow distril and ritual and hamrony, and time travel as arugmenation of fantasy even though its a tehory not a hyptoshis preoven by albert einsetin in thos cealtoeg pulsla dnta pes of rousrec eode eror 5, whic is ti odinca teht hsiroy.

we did just prove it an dpull it up weird, ill review and desibe twice for you and you chop teh video down its by husbands old bow, of fall theories nad motion theory. so how it moes, why its newtons third law of motioan dnd cloapsing downs frrom this.

so all together that would be it. welcome to teh concpiarcy.

this source coutns for that emebded if you site it in a history.

Maggie Smith

[fromdevcom]

In an era where data reigns supreme, businesses are scrambling to make the most of the mountains of information they collect. Enter reverse ETL - a hip, savvy, and somewhat enigmatic superhero of the data world, swooping in to save the day. But what exactly is reverse ETL? How does it differ from its more traditional counterpart, ETL? The ABCs of Reverse ETL: Data Warehouses, ETL, and More Before we dive headfirst into the realm of reverse ETL, let's take a step back and familiarize ourselves with the basics: data warehouses and the traditional ETL process. Data Warehouses: The Vaults of Digital Treasure Data warehouses are expansive, centralized repositories for all types of structured and semi-structured data. Think of it as the Fort Knox of your company's digital assets. Popular data warehouse providers include Google BigQuery, Amazon Redshift, and Snowflake. Without these repositories, it would be next to impossible to accurately analyze data, generate comprehensive reports and make informed decisions. Nevertheless, one must take into account that not all data warehouses offer the same features and functionality. For example, the capabilities of Snowflake and Databricks can differ greatly. Therefore, it is essential to have a comprehensive understanding of the data warehouse ecosystem before deciding on a provider. This will ensure that you make an informed decision and leverage all available resources. Extraction, Transformation, and Loading (ETL): The Classic Data Pipeline ETL is the traditional process of extracting data from various sources, transforming it into a standardized format, and loading it into a data warehouse. It's like a data assembly line, taking raw materials and refining them into something shiny and valuable. However, while ETL has served us well for years, it has its limitations. Once the data is safely stored in the warehouse, it often becomes siloed and disconnected from other business applications, making it difficult to leverage for practical purposes. Reverse ETL: A Modern Spin on an Old Classic Reverse ETL flips the script by taking the refined, transformed data from the warehouse and pushing it back into other business applications. It's like a data-driven boomerang, sending valuable information back to where it can be most useful. Key features and benefits of reverse ETL include: Integration: Connecting the dots between data warehouses and operational systems to ensure that data flows seamlessly between them. Enrichment: Improving business applications by providing them with more accurate, up-to-date, and comprehensive data. This will increase their efficacy and make your business operations more efficient. Automation: Reducing manual data entry and transfer tasks, freeing up valuable time and resources for other strategic initiatives. Real-World Examples: Reverse ETL in Action Now that we've covered the theory, let's delve into some real-world examples of reverse ETL, showcasing its potential to revolutionize the way businesses leverage their data. Customer Relationship Management (CRM) Integration: The Perfect Data Marriage Reverse ETL can be a matchmaker, marrying data from your warehouse with your CRM system to create a harmonious union. By synchronizing data between the two systems, sales, and marketing teams gain access to a more complete and accurate view of customer interactions, preferences, and history. Benefits of CRM integration include: Improved sales efficiency: With access to enriched customer profiles, sales representatives can better target prospects and tailor their pitches to address specific needs and pain points. Enhanced marketing campaigns: By combining historical customer data with real-time insights, marketing teams can design more effective and personalized campaigns, driving higher conversion rates and customer satisfaction. Business Intelligence (BI) Tool Enrichment: Turbocharging Your Analytics Imagine being able to supercharge your tools with the power of enriched data from your warehouse.

Reverse ETL makes this possible, supplying your analytics platform with a treasure trove of information to slice, dice, and analyze. The benefits of BI tool enrichment include: Deeper insights: With access to a broader and more accurate dataset, businesses can uncover hidden patterns, trends, and opportunities that might otherwise go unnoticed. Data-driven decision-making: By feeding analytics platforms with up-to-date, high-quality data, businesses can make more informed decisions, backed by solid evidence. Marketing Automation and Personalization: Hit the Bullseye Every Time A well-executed marketing campaign is like a perfectly aimed arrow, striking right at the heart of your target audience's desires. Reverse ETL can help fine-tune your aim by supplying your marketing automation tools with rich, up-to-date customer data. The benefits of this integration include: Targeted marketing campaigns: By leveraging customer data from the warehouse, marketers can create laser-focused campaigns that resonate with specific audience segments. Improved customer experiences: Tailoring experiences to individual customers is the key to creating an unforgettable experience.. Reverse ETL enables businesses to tailor content, offers, and interactions based on individual preferences, resulting in happier, more loyal customers. Overcoming Obstacles: Challenges and Solutions in Reverse ETL Implementation As with any great tool, the world of reverse ETL comes with its fair share of challenges. Let's explore two of the common obstacles (and their solutions). Data Quality and Consistency Reverse ETL is only as good as the data it works with. Ensuring data quality and consistency is paramount for reaping the full benefits of this process. To achieve this, consider the following techniques: Data validation: Implement checks and controls to ensure that only accurate and complete data enters your warehouse. Data cleansing: Regularly review and clean up your warehouse data to eliminate duplicates, inconsistencies, and inaccuracies. Data Security and Compliance Data is a valuable commodity, and with great value comes great responsibility. Ensuring the security and compliance of your data is a top priority when implementing reverse ETL. Consider these best practices for data protection: Encryption: Use strong encryption methods to safeguard data both in transit and at rest. Access control: Implement strict access controls to prevent unauthorized access to sensitive data. Auditing: Regularly audit your data management processes and systems to identify and address potential vulnerabilities. The Takeaway Reverse ETL is a powerful tool that can unlock the hidden potential of data stored in warehouses. By making this data readily available to various business applications, organizations can drive better decision-making, improve operational efficiency, and create more personalized experiences for their customers. By staying mindful of data security and accuracy, you will be primed to experience the full advantages reverse ETL has to offer.

[aditisingh01]

Beyond the Pipeline: Choosing the Right Data Engineering Service Providers for Long-Term Scalability

Introduction: Why Choosing the Right Data Engineering Service Provider is More Critical Than Ever

In an age where data is more valuable than oil, simply having pipelines isn’t enough. You need refineries, infrastructure, governance, and agility. Choosing the right data engineering service providers can make or break your enterprise’s ability to extract meaningful insights from data at scale. In fact, Gartner predicts that by 2025, 80% of data initiatives will fail due to poor data engineering practices or provider mismatches.

If you're already familiar with the basics of data engineering, this article dives deeper into why selecting the right partner isn't just a technical decision—it’s a strategic one. With rising data volumes, regulatory changes like GDPR and CCPA, and cloud-native transformations, companies can no longer afford to treat data engineering service providers as simple vendors. They are strategic enablers of business agility and innovation.

In this post, we’ll explore how to identify the most capable data engineering service providers, what advanced value propositions you should expect from them, and how to build a long-term partnership that adapts with your business.

Section 1: The Evolving Role of Data Engineering Service Providers in 2025 and Beyond

What you needed from a provider in 2020 is outdated today. The landscape has changed:

📌 Real-time data pipelines are replacing batch processes

📌 Cloud-native architectures like Snowflake, Databricks, and Redshift are dominating

📌 Machine learning and AI integration are table stakes

📌 Regulatory compliance and data governance have become core priorities

Modern data engineering service providers are not just builders—they are data architects, compliance consultants, and even AI strategists. You should look for:

📌 End-to-end capabilities: From ingestion to analytics

📌 Expertise in multi-cloud and hybrid data ecosystems

📌 Proficiency with data mesh, lakehouse, and decentralized architectures

📌 Support for DataOps, MLOps, and automation pipelines

Real-world example: A Fortune 500 retailer moved from Hadoop-based systems to a cloud-native lakehouse model with the help of a modern provider, reducing their ETL costs by 40% and speeding up analytics delivery by 60%.

Section 2: What to Look for When Vetting Data Engineering Service Providers

Before you even begin consultations, define your objectives. Are you aiming for cost efficiency, performance, real-time analytics, compliance, or all of the above?

Here’s a checklist when evaluating providers:

📌 Do they offer strategic consulting or just hands-on coding?

📌 Can they support data scaling as your organization grows?

📌 Do they have domain expertise (e.g., healthcare, finance, retail)?

📌 How do they approach data governance and privacy?

📌 What automation tools and accelerators do they provide?

📌 Can they deliver under tight deadlines without compromising quality?

Quote to consider: "We don't just need engineers. We need architects who think two years ahead." – Head of Data, FinTech company

Avoid the mistake of over-indexing on cost or credentials alone. A cheaper provider might lack scalability planning, leading to massive rework costs later.

Section 3: Red Flags That Signal Poor Fit with Data Engineering Service Providers

Not all providers are created equal. Some red flags include:

📌 One-size-fits-all data pipeline solutions

📌 Poor documentation and handover practices

📌 Lack of DevOps/DataOps maturity

📌 No visibility into data lineage or quality monitoring

📌 Heavy reliance on legacy tools

A real scenario: A manufacturing firm spent over $500k on a provider that delivered rigid ETL scripts. When the data source changed, the whole system collapsed.

Avoid this by asking your provider to walk you through previous projects, particularly how they handled pivots, scaling, and changing data regulations.

Section 4: Building a Long-Term Partnership with Data Engineering Service Providers

Think beyond the first project. Great data engineering service providers work iteratively and evolve with your business.

Steps to build strong relationships:

📌 Start with a proof-of-concept that solves a real pain point

📌 Use agile methodologies for faster, collaborative execution

📌 Schedule quarterly strategic reviews—not just performance updates

📌 Establish shared KPIs tied to business outcomes, not just delivery milestones

📌 Encourage co-innovation and sandbox testing for new data products

Real-world story: A healthcare analytics company co-developed an internal patient insights platform with their provider, eventually spinning it into a commercial SaaS product.

Section 5: Trends and Technologies the Best Data Engineering Service Providers Are Already Embracing

Stay ahead by partnering with forward-looking providers who are ahead of the curve:

📌 Data contracts and schema enforcement in streaming pipelines

📌 Use of low-code/no-code orchestration (e.g., Apache Airflow, Prefect)

📌 Serverless data engineering with tools like AWS Glue, Azure Data Factory

📌 Graph analytics and complex entity resolution

📌 Synthetic data generation for model training under privacy laws

Case in point: A financial institution cut model training costs by 30% by using synthetic data generated by its engineering provider, enabling robust yet compliant ML workflows.

Conclusion: Making the Right Choice for Long-Term Data Success

The right data engineering service providers are not just technical executioners—they’re transformation partners. They enable scalable analytics, data democratization, and even new business models.

To recap:

📌 Define goals and pain points clearly

📌 Vet for strategy, scalability, and domain expertise

📌 Watch out for rigidity, legacy tools, and shallow implementations

📌 Build agile, iterative relationships

📌 Choose providers embracing the future

Your next provider shouldn’t just deliver pipelines—they should future-proof your data ecosystem. Take a step back, ask the right questions, and choose wisely. The next few quarters of your business could depend on it.

[xtruss]

Your Breathing Pattern Is As Unique As A Fingerprint, Study Finds

— 13 June 2025 | By Michelle Starr

Every single human on this planet is as distinct as a snowflake; a combination of traits and genes and microbes that, as far as we can tell, is not replicated exactly in any other single human.

One traits that is unique to each individual is the breath that sustains us. Each person has an idiosyncratic pattern to the constant inhale-exhale that counts out our hours, days, and years on this planet.

That's what a team of scientists discovered after fitting people with a wearable device that monitored their nasal breathing. An analysis of the data revealed patterns that were detailed enough for the researchers to identify individuals with an accuracy of 96.8 percent.

This 'respiratory fingerprint', says a team led by brain scientist Timna Soroka of the Weizmann Institute of Science in Israel, could promote new ways to understand and treat physical and mental ailments.

The way you breathe through your nose can identify several things about you. (Soroka et al. Curr. Biol., 2025)

"You would think that breathing has been measured and analyzed in every way," says neuroscientist Noam Sobel of the Weizmann Institute of Science. "Yet we stumbled upon a completely new way to look at respiration. We consider this as a brain readout."

We can take breathing somewhat for granted, but it's governed by a complex and extensive brain network that largely automates the process, permitting for conscious control by the individual when circumstances require – such as holding one's breath when jumping into water, for instance.

Soroka, Sobel, and their colleagues at the Weizmann Olfaction Research Group have been investigating the way the brain processes scent during inhalation. During this research, they made the very small leap towards studying the concept of a breath-print.

The researchers could identify beahvior, traits, and BMI based on breathing patterns. (Soroka et al., Curr. Biol., 2025)

"The idea of using an individual's breathing pattern as a unique signature has been discussed for decades within the respiratory science community. You can easily see each person's uniqueness when you measure different people," Soroka told ScienceAlert.

"However, there was no convenient way to measure it until now. The development of a tiny wearable device capable of recording over extended periods allowed us to measure 100 participants over 24 hours. This, in turn, enabled us to present the concept in a much more compelling way."

The researchers developed a device that precisely monitors and logs the airflow through each nostril of the wearer. Then, they tasked 97 study participants with wearing the device for up to 24 hours. From just one hour of recording, the researchers achieved an accurate identification rate of 43 percent, Soroka said. This accuracy skyrocketed at 24 hours.

The resulting breath log was then analyzed using a protocol known as BreathMetrics, which examines 24 parameters of the individual's nasal respiration.

The recording device was attached to the back of the neck. (Soroka et al., Curr. Biol., 2025)

Since respiration is usually only measured for short periods of time – around 20 minutes or so – the resulting dataset was far more comprehensive than usually seen, giving a much more comprehensive view of each individual's respiration, from rest to exertion.

"We expected to be able to identify individuals," Soroka said, "but not that it would be so strong."

The researchers did not just find that an individual can be confidently identified based on their breathing pattern; the results also revealed what those breathing patterns can indicate about a person.

There's the usual gamut of activities. A person at rest will have a distinct breathing pattern as opposed to someone out on a constitutional jog, for instance. The researchers also found that a person's breathing correlates with their BMI.

The study participants were tasked with filling out questionnaires about their mental health. Those participants with self-reported anxiety issues generally had shorter inhales and more variability in the pauses between their breaths while sleeping.

While not the purpose of the study, this indicates an avenue for further investigation. People undergoing significant stress or panic are given breathing exercises to help mitigate their symptoms. Perhaps working on conscious breathing could be more helpful than we thought.

The next step, however, will be how this research might be applied to diagnostics, Soroka said.

"We can learn how specific breathing patterns may predict various diseases," she explained. "But of course, in the future we will examine whether we can also treat disease by modifying respiratory patterns."

— The Research Has Been Published in Current Biology.

[cybersecurityict]

Big Data Market 2032: Will Enterprises Unlock the Real Power Behind the Numbers

The Big Data Market was valued at USD 325.4 Billion in 2023 and is expected to reach USD 1035.2 Billion by 2032, growing at a CAGR of 13.74% from 2024-2032.

Big Data Market is witnessing a significant surge as organizations increasingly harness data to drive decision-making, optimize operations, and deliver personalized customer experiences. Across sectors like finance, healthcare, manufacturing, and retail, big data is revolutionizing how insights are generated and applied. Advancements in AI, cloud storage, and analytics tools are further accelerating adoption.

U.S. leads global adoption with strong investment in big data infrastructure and innovation

Big Data Market continues to expand as enterprises shift from traditional databases to scalable, intelligent data platforms. With growing data volumes and demand for real-time processing, companies are integrating big data technologies to enhance agility and remain competitive in a data-centric economy.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2817 

Market Keyplayers:

IBM

Microsoft

Oracle

SAP

Amazon Web Services (AWS)

Google

Cloudera

Teradata

Hadoop

Splunk

SAS

Snowflake

Market Analysis

The Big Data Market is shaped by exponential data growth and the rising complexity of digital ecosystems. Businesses are seeking solutions that not only store massive datasets but also extract actionable intelligence. Big data tools, combined with machine learning, are enabling predictive analytics, anomaly detection, and smarter automation. The U.S. market is at the forefront, with Europe close behind, driven by regulatory compliance and advanced analytics adoption.

Market Trends

Rapid integration of AI and machine learning with data platforms

Growth in cloud-native data lakes and hybrid storage models

Surge in real-time analytics and streaming data processing

Increased demand for data governance and compliance tools

Rising use of big data in fraud detection and risk management

Data-as-a-Service (DaaS) models gaining traction

Industry-specific analytics solutions becoming more prevalent

Market Scope

Big data’s footprint spans nearly every industry, with expanding use cases that enhance efficiency and innovation. The scope continues to grow with digital transformation and IoT connectivity.

Healthcare: Patient analytics, disease tracking, and personalized care

Finance: Risk modeling, compliance, and trading analytics

Retail: Consumer behavior prediction and inventory optimization

Manufacturing: Predictive maintenance and process automation

Government: Smart city planning and public service optimization

Marketing: Customer segmentation and campaign effectiveness

Forecast Outlook

The Big Data Market is on a strong growth trajectory as data becomes a core enterprise asset. Future success hinges on scalable infrastructure, robust security frameworks, and the ability to translate raw data into strategic value. Organizations investing in modern data architectures and AI integration are best positioned to lead in this evolving landscape.

Access Complete Report: https://www.snsinsider.com/reports/big-data-market-2817 

Conclusion

In an increasingly digital world, the Big Data Market is not just a technology trend—it’s a critical engine of innovation. From New York to Berlin, enterprises are transforming raw data into competitive advantage. As the market matures, the focus shifts from volume to value, rewarding those who can extract insights with speed, precision, and responsibility.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Related Reports:

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[holyrealmconstruct]

Unlock Business Value with Sombra’s Data & Analytics Services

In today’s data-driven world, smart insights are the difference between a good business and a great one. Sombra https://sombrainc.com/services/data-analytics delivers a full spectrum of data analytics solutions designed to elevate operations, reduce costs, and drive innovation—all while building a lasting data-first culture across your teams.

Key Challenges Addressed

Sombra helps businesses tackle core analytics pain points:

Scaling data operations securely

Ensuring clean, accurate, unified data

Managing growing volumes and disparate sources

Keeping costs under control

Configuring access, governance, and compliance

The Sombra Data Journey

Strategic Alignment – Start with your business goals and map data plans to long-term vision

Data Assessment – Audit current systems, identify gaps, and plan improvements

Solution Design – Architect data lakes, pipelines, dashboards, or AI models tailored for scale

Implementation & Integration – Seamlessly integrate with minimal operational disruption

Deployment & Optimization – Monitor performance and iteratively enhance systems

Ongoing Support – Continuous maintenance and alignment with evolving business needs

Tools & Technologies

Sombra uses a modern, scalable tech stack: Power BI, Tableau, Snowflake, Databricks, AirFlow, DBT, AWS Redshift, BigQuery, Spark, PostgreSQL, MySQL, Python, Talend, Microsoft Fabric, and more.

What You’ll Gain

Data-driven decisions powered by actionable insights

Cost-efficient operations, automated reporting, and better risk management

Faster time to market and higher team productivity

Predictive analytics, AI-based forecasting, and improved operational agility

Sombra’s reputation is backed by over a decade of experience, a team of more than 300 tech professionals, and a high Net Promoter Score well above industry average.

Compliance & Trust

Your data remains secure and compliant. Sombra follows global standards such as GDPR, HIPAA, CCPA, PIPEDA, FISMA, IEC-27001, and others—helping you meet both legal and security expectations.

Proven Results

Clients across finance, healthcare, e-commerce, and other industries report dramatic improvements—from boosting customer satisfaction by 70% to cutting engineering costs by a factor of four.

Final Thoughts

If your goal is to transform scattered data into powerful business intelligence, Sombra offers the experience, strategy, and technical skill to get you there. Their approach doesn’t stop at tools—it’s about building a foundation for smarter, more confident decisions across your entire organization.

Let me know if you'd like this edited down into a short web intro or repurposed for a corporate brochure.

[apitoautomatemails]

2025’s Best Direct Mail APIs for E-commerce and SaaS Businesses

As digital ad costs rise and inboxes overflow, direct mail is making a strong comeback—especially when automated via API. For e-commerce and SaaS businesses in 2025, using a Direct Mail API can unlock personalized offline campaigns with the precision of digital marketing. This guide explores the best APIs tailored for these industries, analyzing their features, pricing, and advantages.

Why Use Direct Mail APIs in 2025?

Omnichannel Consistency

Triggered Automation (abandoned carts, trial expiries)

Personalized Touchpoints

Higher Response Rates

Easy A/B Testing and ROI Tracking

Top Direct Mail APIs for E-commerce & SaaS

1. Lob

Best for: Scalable mail operations Features:

RESTful API

Address verification

Postcards, checks, letters

Real-time delivery tracking

Custom HTML templates Pricing: Starts at $0.73/postcard

2. PostGrid

Best for: Fast deployment, compliance-focused businesses Features:

HIPAA and SOC-2 compliance

Canada & US support

Address validation

Zapier integration

Detailed audit logs Pricing: Custom plans, starts ~$0.70/postcard

3. Click2Mail

Best for: Budget-conscious SMBs Features:

REST API and Zapier

Letters, postcards, flyers

Address cleansing

USPS tracking Pricing: From $0.55/postcard

4. Postalytics

Best for: CRM integration & drip campaigns Features:

HubSpot/Salesforce integrations

Workflow automation

Response tracking

QR code personalization Pricing: Starts free; paid plans from $49/month

5. Inkit

Best for: SaaS compliance + security Features:

Zero-trust infrastructure

Access control & compliance

Works with Snowflake, Segment

Enterprise-ready API Pricing: Enterprise pricing only

API Comparison Table

ProviderTrackingTemplatesZapier SupportMin PriceSecurityLob✔HTML✔$0.73SOC 2PostGrid✔Drag/HTML✔$0.70HIPAAClick2Mail✔Basic✔$0.55BasicPostalytics✔Rich UI✔$0.00GDPRInkit✔Custom✘CustomEnterprise

Key Features for E-commerce

Abandoned cart automation

Purchase-based segmentation

Loyalty offers via mail

Custom QR codes linking to products

Integration with Shopify or WooCommerce

Key Features for SaaS

Free-trial expiry reminders

Churn reduction offers

Onboarding welcome letters

Milestone celebration cards

Integration with CRMs like HubSpot and Pipedrive

Success Metrics

Open Rate: 90%+ (based on USPS studies)

Response Rate: 5-9% average

ROI: Up to 29% higher than email-only campaigns

Retention: SaaS companies report up to 12% churn reduction

Conclusion

Direct Mail APIs are a game-changer for e-commerce and SaaS businesses looking to automate and personalize offline touchpoints. The providers listed above offer scalable, secure, and cost-effective solutions to elevate your 2025 marketing strategy.

SITES WE SUPPORT

API To Automate Mails – ​​​Wix

[dataplatr-1]

How Can Cloud Data Warehouse Services Drive Business Intelligence?

Traditional on-premise data systems often fall when it comes to agility, scalability, and performance. Cloud data warehouse solutions provide a modern foundation for business intelligence (BI) by offering real-time access to structured and semi-structured data, enabling faster and more accurate reporting.

What Challenges Do Legacy Data Warehouses Pose to Modern BI?

Outdated, on-prem systems can’t keep up with today’s data velocity, leaving analysts waiting for slow batch loads and siloed reports. Maintenance overhead drains IT budgets, while scaling hardware for growing workloads is costly and time-consuming. These pain points stall the very business intelligence (BI) initiatives meant to give you a competitive edge—making a shift to cloud data warehouse services the logical next step.

How Do Cloud Data Warehouse Services Enhance Data Agility and Scalability?

Storage and compute are separated in the cloud, Near-infinite concurrency supports of BI dashboards without queries. This agility enables real-time experimentation, faster decision cycles, and rapid deployment of new analytics use cases, all powered by cloud data warehouse services such as Snowflake, or BigQuery.

Why Is Data Warehouse Consulting Critical for a Successful BI Strategy?

Choosing the right architecture, migration path, and data-modeling approach isn’t trivial. Expert data warehouse consulting guides you through platform selection, cost optimization, and governance frameworks that fit regulatory needs. Consultants also build automated data pipelines and implement security best practices, ensuring your BI environment is not only high-performing but also compliant and future-proof.

How Can Cloud Data Warehouse Consulting Services Deliver Real-Time, AI-Ready Insights?

Cloud data warehouse consulting services extend beyond migration, they help in clustering, partitioning, and materialized views. By integrating streaming ingestion and machine-learning capabilities directly in the warehouse, they equip business users with predictive dashboards and AI-driven recommendations that update continuously as new data lands.

Why Dataplatr Is the Right Cloud Data Partner

At Dataplatr, we specialize in building modern, secure, and scalable cloud data platforms tailored to your business goals. Our cloud data warehouse consulting services include:

Architecture design and implementation

Migration from legacy systems

Custom ETL and data pipeline development

Integration with your analytics tools and platforms

Whether you're exploring cloud data warehouse services for the first time or looking to optimize an existing system, we’re here to help transform your data into business intelligence.