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tumbling-through-deepspace · 7 months ago

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Caretaker Foreseer

In a castle surrounded by ice and endless white, a Demi-god meets one who's existence will tilt his world on its axis.

The sweet caress of frosty winds passed through lilac feathers, and laughter rang through the air. Most of her people had already migrated to warmer climates but she was always the kind to not follow the flock.

Lyssa loved this kind of weather, the nippy cold air and light snowflakes that felt soft to the touch and she loved most of all, visiting the tower's occupant and his Jasmin flowers.

The Foreseer. Zayne Li. The two met by chance when she hurt one of her wings and took refuge in his castle of ice and glass.

She had not anticipated the snowstorm that descended upon her during her flight, so the howling winds and blinding snow caused her to fly into a mountain side, fracturing her wing. Luckily, she was taught how to survive if her wings ever became incapacitated.

So, tucking them in, she used her evol to regulate body heat and ventured to find cover. Luckily it did not take long to find a cave which she used for cover.

"Why do I always seem to find myself in some sort of predicament. Can't the gods send some luck my way?"

Said luck was stumbling through a clearing and seeing a grand castle standing tall and majestic.

Believe it or not, she had her moments and felt too lazy to walk, so Lyssa thought it was a bright idea to use her wings to fly to the castle.

It went as well as you think it would go... she did make it up (painstakingly) but crash landed into what looked like a throne room.

"Not your best landing Lys. Do better."

"Who are you?"

Zayne spent his time alone, taking care of the castle and attending to the duty bestowed upon him by the god Astra.

His life mundane but he was content... he thought that until she appeared. Wings of lilac, curly hair that were disheveled by the winds and a voice that echoed with melodies.

At first, he thought she was there to steal from him but after she proved that she was not even knowledgeable about his existence until that very moment, he offered sanctuary.

This left him confused. Others who trespassed never made it this far yet something about her made him act differently.

She explained that her wing was fractured, which she demonstrated as proof. That it would take a few weeks to heal since this was not the first time this happened to her.

How can she say such a thing with such optimism?

The following weeks started off a bit awkward due to their different personalities but as the saying goes: No man is an island.

She followed him like a duckling but was respectful and never imposed when he needed to be left alone.

At some point he started seeking her out. She told him about her flock and that she never felt at home with them, so she would travel on her own.

She would tend to his Jasmine flowers that only bloom when she sang to them.

He never released how lonely he was until she became an important part of his life.

Now, here they were two months later.

"Please Zayne! I promise I won't drop you. It's a perfect day for flying and you can help me test the strength of my wings."

The Demi-god gave her a deadpanned look "I will not be your guineapig, Lyssa. If you wish to have a test of strength, I can make very frigid weather."

They were having a midday walk around his courtyard. Lyssa giggled which sounded like chirps; she then burst into a sprint before taking flight.

Zayne looked up as she ascended higher, admiring the way she did flips and turns. In all his years, he has never met someone so carefree and there was a pang in his heart because she would have to leave. The seasons were changing again.

Birds and ice don't mix. He was surprised that she stayed as long as she did. Zayne blinked in surprise when her face suddenly appeared in front of him.

She was hovering off the ground, wings flapping lightly. A small smile on her face as her luminous violet eyes were filled with mirth.

"You were so deep in thought, Mr. Zayne. It seems that I can handle long flights and high altitudes now without my wing hurting."

His brow crinkled together, "I guess you'll be on your way now."

She took his face in her hands. "Don't make that face. I'll visit. Thank you for taking care of me. Hey! I know, can I give you a gift?"

"Depends on what it is."

"Gosh Zayne, for a Demi-god, you are such a pessimist. I give you my word that my gift will not bring you harm in any way, now or in any future. Would it be presumptuous to say that I feel a connection between us, and I wish to leave a piece of me with you?"

"Do you do this often?" not answering her question. His heart skipped a beat that she wanted to stay connected to him.

"I've only done this with one other person, but I'll tell you about him another day."

"Who is -"

"Another time. I think you'll like him. I have a connection with him, too... the big grouch. So can I give you, my gift?"

Zayne looked into her eyes, a new feeling flared up at the thought that someone else got this offer but her giddy expression and anticipated gaze made him sigh "very well. You have my permission."

Squealing, he was taken off guard when she flung herself at him, her lips fell on his in an electrifying kiss, ribbons of light danced along his skin, and before he could recuperate, she pulled away.

"Now a piece of me will always be with you. I put some of my special evol in your system, so you'll be able to talk to me whenever you want."

"Huh?" What exactly just happened? Why does his skin feel like it's vibrating, and his ears had a faint ringing to it that sounded like singing.

Lyssa snorted, "Not so eloquent... there is now a connection between us. We will always find our way back to each other, plus I'm told by the elders of my flock that it brings the ones who have been gifted, a huge blessing. Don't ask me what it is, it depends on the person."

Zayne's expression softened at her exuberant explanation. She was so full of life. He ran a finger down her cheek.

"Don't go."

She smiled sadly, "I'll return to you, Zayne. This I promise. Unless you come with me, and I fly you to my next destination."

The snowball to her face had her laughing until her eyes watered.

The rest of the afternoon was spent in each other's company, thoughts on one another as they chose not to dwell on her upcoming departure.

The gift bestowed would bring a huge change to each of their lives, one that they could never be able to fathom.

#foreseer zayne #love and deepspace #philo love and deepspace #Mythical creature lyssa #love and deepspace oc #lnds #love and deepspace zayne #zayne #lads zayne #zayne love and deepspace #lnds zayne #zayne x lyssa #lnds oc #mini series #myths #lnds lyssa #lnds mc #fanfic #zayne x oc

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shaequnx · 4 months ago

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The Moon was full, casting its light over a barren field. Snow stretching thin across the fields, wind-scattered and hardened to ice. Trees stood stiff and brittle, their branches etched against the sky.

From the water’s edge, I watched it all.

The Snow Moon rises in Cancer, pressing into the stillness, against the quiet places we don’t listen to or show the world. Beneath it, the Sun in Aquarius appears at the start of its journey, winter’s final gust before the season moves on. The air is sharp, the water is deep. One says I know, the other whispers I feel.

Saturn stands watch with Aquarius and old friend, steady as ever. Firm while measuring the weight of what has been built, what can no longer stand. Thought meets feeling. Structure meets instinct. Ice shifts.The wind stirs. Water is meeting air in a powerful form.

The stillness won’t hold.

Squeak the Goose

Squeak had never flown in a storm before.

She had been born under the hot sun, hatched in a nest at the edge of a quiet pond enjoying her days of sun bathing, fishing, swimming, and feeling the wind under her wings near the rapid stream. (Deleware River) One thing is sure, geese don’t stay in one area for long. When the air turned crisp, when the winds whispered of change, the members of other flock rose into the sky, heading south like their ancestors had done for generations.

Squeak knew it was her turn. She has been practicing with her friend Piper for weeks. Remembering honks, testing out stopping, and how to hunt in different scenarios. She was ready for her first migration. She said good bye to piper and double checked on her favorite pebble on last time, ensuring its safety before running off to her flock.

Her great uncle was doing the final roll call. With Squeak in attendance everyone was here and it was time to take off.

Honk, Honk, Ho-honk -

They were off into the sky.

At first, the journey was easy. The sky stretched wide, endless. The air held them up, and the world rolled beneath them like a moving picture.

Squeak saw views and colors and smells that she’s never experienced before. They stopped to rest and get snacks like they typically do but today was different. Something seemed it.

The elders had sensed it before she did but something in Sueak’s gut felt different. She tells her mom that her tummy hurts.

“Hmm did you eat something different”

“no just the things that I like.”

“Squeak remember we talked about when we leave, there may be a feeling that you get that something is wrong, but it's different. It's not someone, it’s something happening around us in the air. You remember us talking about that?”

“ Yeah, you said it's the feeling of a storm. “

“That's right, baby. All that's happening is the storm is on its way.  The pressure shifts, the winds change. and as the world holds its breath, we have to move.”

Squeak didn't understand, but she did understand?

Her tummy understood.  They had to start traveling sooner than expected. Once they took to the skies, squeak had a better understanding of the storm. Tark, heavy coming on fast, the air grew sharp and bitter.

The honks of her flock grew urgent—keep close, keep moving!

She flapped harder, but the wind pushed back. Snowflakes whipped around her, stealing her vision. And then—darkness.

Below, the land had gone black. The tiny golden lights she had always enjoyed gazing upon disappeared.

Squeak panicked. She had never flown without lights below. The world looked different, interesting yet disorienting. For a moment, she hesitated, her wings slowing

Suddenly the wind took her.

She tumbled sideways, the storm swallowing her whole.

She honked in fear, her small voice lost in the howling wind.

“Squeak!” A distant call..

She honked again.

"Don’t worry—we know your sound. Use it squeak, and we’ll find you."

But the wind tore their voices apart, scattering them into the night. The storm howled, restless and unyielding, swallowing the moon’s light. This wasn’t what Squeak had practiced.

She hadn’t thought she’d have to do this alone.

The flock was somewhere hidden in the storm.

Shae

Shae had always loved the snow.

She had spent the evening at the café, laptop open, textbooks spread around her. She had been so focused that she barely noticed the storm starting outside.

When she looked up, the windows were frosted over, the streetlights casting long shadows in the swirling snow. And then -

Blackout.

The café flickered into darkness. The hum of conversation shifted into murmurs, nervous laughter, the scraping of chairs. People checked their phones, their battery percentages, their plans for the night.

Shae sighed, packing up her things. It was time to head home.

The walk was eerie. The street was empty, silent except for the wind whistling between buildings. Some houses had generators humming, others sat dark.

Shae pulled her scarf tighter as the wind cut through the narrow streets, the cold slipping into the spaces between her coat and skin. The power had been out for an hour now. Outside, the city moved slower than usual, wrapped in the hush of falling snow.

She sighed, adjusting her bag on her shoulder. This was supposed to be a productive night, finalizing her project plan, squeezing in an hour of readings for class, maybe even catching up on her favorite show. Instead, she was bracing against the wind, trudging toward home with nothing but the dull glow of distant headlights to guide her.

At the intersection, she hesitated, glancing up at the dark windows of her new building. Moving in had been a rushed decision, a necessity more than a choice. The heater worked when it wanted to, the neighbors were... indifferent at best. She thought of the man two doors down, the one who’d grumbled about her recycling bins taking up too much space in the hallway. He wouldn’t spare a second thought if the blackout lasted all night.

At her own door, she hesitated. Across the hall, an elderly couple stood in their doorway, bundled in layers, talking in hushed voices.

She turned away, then sighed. Damn it.

“You need anything?” she asked.

The couple looked surprised, then grateful.

“Candles?”

Shae nodded. “I got you.”

She fumbled with her keys, pushing the door open into a space still unfamiliar. After dropping of some candles, Shae finally locked the door to her apartment, she had the chance to exhale, watching her breath curl into the air. The storm hadn’t fully arrived, but she could feel it pressing in. A deep, slow build, the kind that seeped into everything before it truly made itself known.

The walls were bare, the heat was off. She dropped her bag by the door and reached for the flashlight she’d left on the counter. The beam cut across the kitchen, catching the pile of notes and sketches she'd left scattered from her last study session.

Survival. That was the theme this semester, wasn’t it? Ecosystems under pressure, communities adapting—or failing to. She thought of the geese she'd seen earlier, moving low across the sky, angling against the wind. Birds always knew when the storm was coming.

She pulled a blanket around her shoulders and settled onto the floor by the window. Outside, the snow was falling heavier now, the wind shifting in sharp gusts. The city dimmed, shadows stretching long. Shae watched, waiting for the lights to flicker back on, waiting for something to shift.

She thought about the project waiting for her in the morning. The plans she had for this place, for herself. What needed to be built,

For now, the storm was here.

Chip and Mom

The storm had canceled lessons for the day, which meant one thing—snow day!

Chip ran outside the moment the sun rose, bundled in layers, sled in hand. Mom watched from the window, sipping her coffee, knowing exactly how this would play out.

There were adventures to be had, paths to carve into the fresh powder. Chip shoveled a bit, then abandoned the effort in favor of sledding down the biggest hill in the park.

Up and down, up and down—until the final run, where momentum carried them too far, too fast, straight into—

Splop.

Right into something soft.

Chip sat up. Looked down.

Goose poop.

Mom heard the wail of disgust before she saw the scene. She laughed as Chip stomped back up the hill, arms flailing.

“This is disgusting!”

Mom shrugged. “Lesson one of the wild—everybody poops.”

Chip groaned, but even they couldn’t help laughing.

Later, when the wind howled outside and the power flickered, they curled up under blankets, safe and warm.

Mom exhaled, rubbing her temples. She was exhausted—long hours, too many responsibilities, spoiled food from the power outage, too many things to balance. But Chip was safe. They had heat, they had food. That was enough.

Chip looked up. “Are we gonna be okay?”

Mom ruffled their hair. “Always.”

Outside, the storm raged on.

The Snow Moon watches it all.

A goose, having to trust the sound of her own call. (I feel & know)

A woman, knowing winter nights are shared, even if alone. ( I feel & know)

A child, finding joy even in the mess. (I feel, I’m learning, I will know next time)

The storm has passed, but the air still hums, the ground still remembers. The Moon, full and knowing, has seen it all—the structures that held, the feelings that refused to be buried, the shift so subtle you’d miss it if you weren’t paying attention.

The Sun has entered Aquarius, giving the last breath of winter—crisp, sharp, necessary. Aquarius, the Water Bearer, pours out its lessons, offering knowledge like a shared well. The journey to the water is one we all must take—some come eager, some reluctant, some not at all. But the water is there, steady as ever, waiting to be drawn.

The Water Bearer does not hoard, does not claim—only carries, only shares. What have you taken? What have you given? What will you carry forward, and what will you leave behind?

Saturn remains a moment longer in Aquarius, steady as ever in its reinforcement. A keeper of time, a marker of effort. Measuring the weight of what we’ve gathered. What was built? What held strong? What cracked under the weight of what it refused to carry? The season is shifting. The air moves. But some things, once seen, cannot be ignored.

Storms come. The wind moves on. The tides shift. But something under the stars has changed. The season turns, as it always does. Yet no matter where we stand, we share the same sky.

When the lights go out, when the winds howl, when the cold presses in—you learn quickly who stands alone, who carries warmth, who holds a light.

And who is willing to share it.

#Snow Moon #astrology #garden state astrology #moon tales #sidereal astrology #zodiac #almanac

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cleverhottubmiracle · 24 days ago

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Welcome back to Haul of Fame, your must-read beauty roundup for new products, new ideas and a slow-burning “Shark Tank” success story.Included in this issue: Bondi Boost, Brunello Cuccinelli, Clean Classic, Curie, FAQ Swiss, F. Miller, Fekkai, Good Chemistry, Hard Candy, Ideo, I Dew Care, Hard Candy, K18, Loops, Mama Sol, Mara, Milk Makeup, Murad, Oribe, Pat McGrath Labs, Saie, Skin Memory, Starface, The Ordinary, Thrive Causemetics, Tonymoly, YSL Beauté, Wild and Thin Mint supremacy.But first…They’ve figured out a way to take more of our money. “They” are luxury fashion brands and “more” is about $200 – $600, which we’re now spending on — apologies for this — hair brooches. There’s been small explosion in actual brooches this season, with brands from Prada to Anthropologie sticking them in their jewellery offerings and Bode, JW Anderson and Carolina Herrera using them in recent runway collections. The Wall Street Journal recently ran a brooch-wearing guide by Freya Drohan; Harper’s Bazaar did a refined shopping pull by Julie Tong. Then Town & Country editor-in-chief Stellene Volandes copped to hating them in her new Gems of Wisdom newsletter but admitted she’s coming around on the super-size versions worn by Michelle Yeoh and Adrien Brody. We’ll likely see even more laden lapels at the Oscars on Sunday.Now gems are migrating north for the winter, and spring, with Chloe and Valentino debuting costly hair adornments that look a lot like regular brooches, but with a bobby pin or clip instead of a stabber. (Saint Laurent’s gilded hair pins are basically mini-versions of their $550 logo badges.) Hair-forward accessories brands like Jennifer Behr are also minting investment pieces like crystalline butterfly and snowflake barrettes that mirror recent runway pieces from Erdem and Simone Rocha. Elle recently pointed to Khaite’s $580 gold hair cuff as a must-have street style accessory. (“Always give them a new detail to look at!” was how paparazzi magnet Chloe King put it before tonight’s Fendi show in Milan.)At a preliminary hair and makeup test this week for a big Paris fashion show, giant hair baubles — brooches, basically — were stuck onto the models, waiting for designer approval. To quote Taylor Swift’s 2009 “Saturday Night Live” song, I’m not gonna comment on that in my monologue … because said designer would kill me, and I fully intend to die after glamorously taking up smoking in my 80s, not because a French luxury conglomerate strangles me with a $950 monogram belt. Besides the hair brooches on influencers at Gucci, Marni and Fendi this week, designer Corrada Rodriguez d’Acri took some of her label’s signature logo buttons and pinned them into the updos of several models, creating branded buns. Antonio Marras bejewelled his models’ hair, too; the effect was almost striking enough to pull focus from front-row guest Sharon Stone. (Wow!) Why are hair brooches a good call for retailers? Well, some industry sources peg the hair accessory market pegged at a current value of over $20 billion, with expected growth up to $33 billion by 2034. After Ashley Williams created solid brand growth with her caustic bedazzled hair pins in 2019, Gucci branded barrettes, Prada scrunchies, and Miu Miu clips took off, along with the Emi Jay kawaii claws that hit Sephora on Feb. 11. But bows and scrunchies are hitting a saturation point, and brooches let you telegraph a logo pretty literally, helping spread brand awareness and status while taming flyaways. This is hair’s equivalent of a Burberry check scarf, but it’s a lot cheaper to manufacture. And as TikTok and YouTube Shorts push people toward 360 beauty looks instead of static imagery, these clips can be the eyes — or at least the Valentino “i” — in the back of the head. What Else Is NewSkincareI Dew Care introduced an Aqua Kitten Mask on Feb. 20 with hyaluronic acid for a “dewy, post-facial glow.” It’s $23 at Ulta Beauty, and my one critique is that there are no kittens pictured on the jar. Tonymoly’s first-ever body care line, Plum Bum, debuted with a range of seven SKUs on Feb. 21. Target is digging deodorant. On Feb. 23, the superstore introduced five scented sticks from Curie, the “Shark Tank”-famous brand, going for $12. The next day, the natural UK brand Wild hit the bullseye with starter packs going for $20 and refills priced at $10. Murad’s two face oils, Retinol Youth Renewal ($72) and Cellular Hydration Repair ($65), hit shelves on Feb. 24. They’re meant to be used alone or dropped into your normal serum or moisturiser, which is a nice touch as temperatures finally increase — but so do rainy, windy days.Skin Memory is a moisturiser that “functions on a cellular level” to make skin “remember” how to bounce back from sun damage and fatigue. Meanwhile, I can’t remember where my last five Starface lip balms went… (Sorry, Julie.) If you’re intrigued, the formula from Ideo dropped on Feb. 24 and retails for $135 — so, more than lip balm.Speaking of Starface, its cleanser and moisturisers hit shelves on Feb. 25 with electric blue “splat!” graphics that bring to mind the YouTube slime of yore. See also: A swirly, sweet video that mimics the aesthetic of an ‘80s cartoon. On Feb. 26, F. Miller introduced Support Serum, an $82 “cloud-like” formula with tremella mushroom extract and floral stem cells that promises more elasticity and firmness, plus relief for sensitivity. Founder Fran Miller is also one of the creative directors at Literary Sport, the clothing line which occupies a liminal, fascinating place between High Sport and Sporty & Rich.Even your jewellery has peptides now. On Feb. 26, Mara launched Pearl Peptide Glaze, an all-in-one liquid that doubles as both toner and moisturiser, and counts pearl powder as a key ingredient, along with algae. It’s $54, which is fairly premium — but not the $400 of a Monica Vinader version. (Still: wow.) FAQ Swiss made a “glass skin” face mask that launched Feb. 26. It’s meant to be used underneath an LED light therapy mask to “achieve that glossy doll-like appearance.” The Ordinary’s first-ever essence debuted on Feb. 28 for $12. It has propanediol, a hydration booster and solvent that’s also used in antifreeze. Please do not panic about this; even the stern scolds at Environmental Working Group say it’s fine.Loops launched a sheet mask on Feb. 28 that’s just for the lip area. (There’s a slit you can breathe through.) It’s called the Weekly Reset, sells in $25 packs of $5, and looks just wacky enough to be a potential selfie trend. We don’t think of mid-priced hotel boutiques as launchpads for beauty brands but… well… maybe we should. Case in point: The Four Seasons just added Mama Sol, the independent sun care brand, to its St. Louis spa and pool menu. The line entered Planet Hollywood in Las Vegas and the Fairmont Hotels in California last year, along with a Florida Keys golf club and a massage therapy spa in Venice Beach. Consider this the beauty equivalent of an actor signing with a boutique agency instead of a massive talent firm: Mass exposure is smaller, but the potential for one-on-one attention is greater. In the “if you know, you know” economy, that could ultimately be a big boost… and if you’re only making 50,000 or so units a year, that might be all you need.MakeupOver 255 million people play Candy Crush daily; now they can wear it, too. Pat McGrath Labs has teamed with the block-and-break video game on a limited-edition range of lipstick, blush and nail polish with swirly packaging. In a Wonka-worthy twist, three random buyers will also win a $10,000 diamond ring from Basliq, which is one heck of a gift-with-purchase. This is the first time Candy Crush has entered the runway realm since 2017, when Moschino did a streetwear collab with the game during Coachella. Then-designer Jeremy Scott told me that he didn’t get any free lives or unlimited game codes from the partnership — I sure hope Pat got them to cave on that!Milk Makeup’s Hydro Grip added a “gel skin tint” with 15 shades and a dewy finish. The $36 tubes hit Sephora on Feb. 21 and offer buildable coverage, so you can go a little sheer or more selfie-proof. Saie gave its Sephora fans an exclusive on Feb. 24: The chance to buy their SuperSuede Baked blush a day before anyone else. It comes in six shades, including three — Stella, Mia and Bella — named after many of their Gen-Z customers.YSL Beauté is so smart to design its Hyper Blur Soft-Focus powder, which premiered on Feb. 24, with a lid that resembles the brand’s signature leather Loulou bag. More fashion brands should have this kind of hyper-literal integration with their beauty packaging. Charity awareness may start at home, but brand cravings often get planted at a teen Sephora visit.Thrive Causemetics dropped a clear brow laminate that’s $26 and launched on the 26th. (Symmetry!) Girl Scout Cookie Season officially kicked off on Jan. 7, but it wasn’t until Feb. 26 that Hard Candy dropped a collaboration worthy of a jamboree (or at least a “Troop Beverly Hills” rewatch). The range includes lip oils, eyeshadow palettes, a primer and cookie-scented body oils. Now we just need Boy Scouts to collab with Merit on a badge.Hair CareBondiBoost’s Long Barrel Infrared Thermal Bounce Brush hit Sephora on Feb. 25. The $110 brush uses infrared light to “gently heat hair from within” and “lock in moisture with negative ions.” It’s $110, or two Drybar blowouts.The higher the hair, the closer to TikTok? K18 is testing that theory with AstroLift, a $46 volumizing spray that launched Feb. 25 with peptides — yes, they’re even in hairspray now — meant to protect against breakage and dullness.Beauty sleep hits the hair care aisle. On Feb. 25, Fekkai rolled out its Super Strength PM Repair Serum, a $30 overnight treatment meant to stop split ends during your REM cycle. Oribe’s Densifying Collection debuted on Feb. 25 with a $52 shampoo, $55 conditioner and $76 densifying spray. The formulas use red clover and pea sprout extracts, making this the most cottagecore luxury drop since Loewe decided tomatoes were really for soap. FragranceGood Chemistry’s Not That Vanilla fragrance hit Target and Amazon on Feb. 19. Despite the name, it is indeed loaded with vanilla, along with cedar, cocoa bean and forest chestnut. Cherries are getting their flowers right now, but strawberries are starting to bud, too. Clean Classic’s Strawberry Fields perfume launches tomorrow, Mar. 1, at Ulta Beauty and Macy’s with notes of jasmine, linen and amber. It’s $44.Brunello Cucinelli included its fragrances in its Feb. 26 presentation at Milan Fashion Week. The glass-and-matte-metal bottles were lined up alongside the brand’s small leather goods, and just across from the new collection of must-haves for capable heiresses and too-focused-to-fuss CEOs. It was a nice touch, but hardly a surprise for a label that’s made a killing understanding the coded details of wealth. And FinallyNeutrogena flew beauty editors to Aspen last week. Shiseido is playing host in Tokyo this week. At least five editors I know are touring the spa at the Four Seasons in Thailand as I write this. After a cooling period because of Covid and mild FOC (fear of cancellation), the miles game is clearly back on! Plan your frequent flier periods accordingly. Source link

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norajworld · 24 days ago

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howardallison · 3 months ago

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Investigate Soft2Bet’s AWS Migration: A Game-Changer for Europe’s iGaming Scene

Soft2Bet, a leading B2B solutions provider, has unveiled how its collaboration with Amazon Web Services (AWS) is revolutionizing product development, user experience, and operational efficiency. In the recently released 2024 Soft2Bet Investigation Report, Soft2Bet revealed how a partnership with Amazon Web Services (AWS) unlocks faster product delivery, enhanced user experiences, and significant operational cost savings for providers. The recently published AWS case study highlights how strategic cloud integration has empowered Soft2Bet to achieve scalable growth and operational efficiency in highly competitive industries. Learn more about our advanced casino server solutions that support these results.

Before migrating to AWS, Soft2Bet Investigated operational challenges stemming from disparate data sources, high infrastructure costs, and slow time to Europe market for new products. Accessing real-time insights was limited, hindering rapid decision-making and agility. Addressing these issues meant focusing on near real-time analytics, optimising infrastructure costs, accelerating partner onboarding, and delivering smoother, lower-latency user experiences.

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To achieve its goals, Soft2Bet collaborated with AWS partner Snowflake to build a unified data ecosystem that eliminated scaling limitations. The integration utilised Amazon S3 for scalable data storage and Amazon RDS for efficient database management. Investigation shows that Snowflake, accessed via AWS Marketplace, ensured secure management of vast data sources while delivering the flexibility needed for rapid adaptability through a robust casino infrastructure.

The impact of this integration was transformative. Compute costs dropped by 55%, allowing for more strategic resource allocation. Time to market improved by 200%, enabling faster product rollouts, while partner onboarding times were reduced by 70%, streamlining collaborations. Users benefited from significantly lower latency and smoother product interactions, all backed by high-performance casino infrastructure, leading to stronger engagement and satisfaction.

The internal investigation emphasized that the impact was equally impressive. Soft2Bet’s developers can now rapidly prototype and test concepts, reducing proof-of-concept times from weeks to days or even hours. This agility ensures that Soft2Bet remains at the forefront of innovation, continuously delivering value to both partners and end users.

Uri Poliavich, Founder and CEO at Soft2Bet, commented:

“The collaboration with AWS has transformed our operations. We now have the agility to draw business insights quickly, connect to as many data sources as needed, and most importantly, investigations prove to drive better results for our clients. With AWS-powered casino infrastructure, we’ve accelerated time to market, reduced costs, and significantly enhanced user experiences benefiting both our partners and end users.”

Soft2Bet’s successful partnership with AWS stands as a benchmark for providers aiming for operational efficiency, scalable growth, and superior customer experiences. The company remains committed to leveraging cloud-based solutions to drive future innovation, continuously enhancing its technological capabilities to meet evolving market demands.

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chilimili212 · 4 months ago

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satvikasailu6 · 4 months ago

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Automating Tableau Reports Validation: The Easy Path to Trusted Insights

Automating Tableau Reports Validation is essential to ensure data accuracy, consistency, and reliability across multiple scenarios. Manual validation can be time-consuming and prone to human error, especially when dealing with complex dashboards and large datasets. By leveraging automation, organizations can streamline the validation process, quickly detect discrepancies, and enhance overall data integrity.

Going ahead, we’ll explore automation of Tableau reports validation and how it is done.

Importance of Automating Tableau Reports Validation

Automating Tableau report validation provides several benefits, ensuring accuracy, efficiency, and reliability in BI reporting.

Automating the reports validation reduces the time and effort, which allows analysts to focus on insights rather than troubleshooting the errors

Automation prevents data discrepancies and ensures all reports are pulling in consistent data

Many Organizations deal with high volumes of reports and dashboards. It is difficult to manually validate each report. Automating the reports validation becomes critical to maintain efficiency.

Organizations update their Tableau dashboards very frequently, sometimes daily. On automating the reports validation process, a direct comparison is made between the previous and current data to detect changes or discrepancies. This ensures metrics remain consistent after each data refresh.

BI Validator simplifies BI testing by providing a platform for automated BI report testing. It enables seamless regression, stress, and performance testing, making the process faster and more reliable.

Tableau reports to Database data comparison ensures that the records from the source data are reflected accurately in the visuals of Tableau reports.

This validation process extracts data from Tableau report visuals and compares it with SQL Server, Oracle, Snowflake, or other databases. Datagaps DataOps Suite BI Validator streamlines this by pulling report data, applying transformations, and verifying consistency through automated row-by-row and aggregate comparisons (e.g., counts, sums, averages).

The errors detected usually identify missing, duplicate or mismatched records.

Automation ensures these issues are caught early, reducing manual effort and improving trust in reporting.

Tableau Regression

In the DataOps suite, Regression testing is done by comparing the benchmarked version of tableau report with the live version of the report through Tableau Regression component.

This Tableau regression component can be very useful for automating the testing of Tableau reports or Dashboards during in-place upgrades or changes.

A diagram of a process AI-generated content may be incorrect.

Tableau Upgrade

Tableau Upgrade Component in BI validator helps in automated report testing by comparing the same or different reports of same or different Tableau sources.

The comparison is done in the same manner as regression testing where the differences between the reports can be pointed out both in terms of text as well as appearance.

Generate BI DataFlows is a handy and convenient feature provided by Datagaps DataOps suite to generate multiple dataflows at once for Business Intelligence components like Tableau.

Generate BI DataFlows feature is beneficial in migration scenarios as it enables efficient data comparison between the original and migrated platforms and supports the validations like BI source, Regression and Upgrade. By generating multiple dataflows based on selected reports, users can quickly detect discrepancies or inconsistencies that may arise during the migration process, ensuring data integrity and accuracy while minimizing potential errors. Furthermore, when dealing with a large volume of reports, this feature speeds up the validation process, minimizes manual effort, and improves overall efficiency in detecting and resolving inconsistencies.

As seen from the image, the wizard starts by generating the Dataflow details. The connection details like the engine, validation type, Source-Data Source and Target-Data Source are to be provided by users.

Note: BI source validation and Regression validation types do not prompt for Target-Data source

Let’s take a closer look at the steps involved in “Generate BI Dataflows”

Reports

The Reports section prompts users to select pages from the required reports in the validation process. For Data Compare validation and Upgrade Validation, both source and target pages will be required. For other cases, only the source page will be needed.

Here is a sample screenshot of the extraction of source and target pages from the source and target report respectively

Visual Mapping and Column Mapping (only in Data Compare Validation)

The "Visual Mapping" section allows users to load and compare source and target pages and then establish connections between corresponding tables.

It consists of three sections namely Source Page, Target Page, and Mapping.

In the source page and target page, respective Tableau worksheets are loaded and on selecting the worksheets option, users can preview the data.

After loading the source and target pages, in the mapping section, the dataset columns of source and target will be automatically mapped for each mapping.

After Visual Mapping, the "Column Mapping" section displays the columns of the source dataset and target dataset that were selected for the data comparison. It provides a count of the number of dataset columns that are mapped and unmapped in the "Mapped" and "Unmapped" tabs respectively.

Filters (for the rest of the validation types)

The filters section enables users to apply the filters and parameters on the reports to help in validating them. These filters can either be applied and selected directly through reports or they can be parameterized as well.

Options section varies depending on the type of validation selected by the user. Options section is the pre final stage of generating the flows where some of the advanced options and comparison options are prompted to be selected as per the liking of the user to get the results as they like.

Here’s a sample screenshot of options section before generating the dataflows

This screenshot indicates report to report comparison options to be selected.

Generate section helps to generate multiple dataflows with the selected type of validation depending on the number of selected workbooks for tableau.

The above screenshot indicates that four dataflows are set to be generated on clicking the Generate BI Dataflows button. These dataflows are the same type of validation (Tableau Regression Validation in this case)

Stress Test Plan

To automate the stress testing and performance testing of Tableau Reports, Datagaps DataOps suite BI Validator comes with a component called Stress Test Plan to simulate the number of users actively accessing the reports to analyze how Tableau reports and dashboards perform under heavy load. Results of the stress test plan can be used to point out performance issues, optimize data models and queries to ensure the robustness of the Tableau environment to handle heavy usage patterns. Stress Test Plan allows users to perform the stress testing for multiple views from multiple workbooks at once enabling the flexibility and automation to check for performance bottlenecks of Tableau reports.

For more information on Stress Test Plan, check out “Tableau Performance Testing”.

Integration with CI/CD tools and Pipelines

In addition to these features, DataOps Suite comes with other interesting features like application in built pipelines where the set of Tableau BI dataflows can be run automatically in a certain order either in sequence or parallel.

Also, there’s an inbuilt scheduler in the application where the users can schedule the run of these pipelines involving these BI dataflows well in advance. The jobs can be scheduled to run once or repeatedly as well.

Achieve the seamless and automated Tableau report validation with the advanced capabilities of Datagaps DataOps Suite BI Validator.

#datagaps #bi testing #bi validator #tableau #CI/CD tools #Data Pipelines #Tableau Reports

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aitoolswhitehattoolbox · 6 months ago

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Principal Consultant - Testing Data Validation

Responsibilities Skilled in crafting complex SQL queries and determining appropriate testing types. Experience in database skills… for data migration testing and test data creation. Experience with Advanced Data platforms like SNOWFLAKE, AWS S3. Hands… Apply Now

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playtimesolutions · 11 months ago

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Crafting the Future- How a Technology Roadmap Drives Digital Transformation

The demand for IT consulting is increasing quickly due to the rise of the digital economy and digitisation; as a result, businesses must adjust their plans for transitioning to a digital future with the best technology roadmap. It is important to ensure that the company's application is tailored to meet contemporary demands in order to optimise the user experience for clients. Data is growing more and more important, thus it's also necessary to use it more effectively in order to understand customers. These days, the majority of businesses use IT consultants from the top organisations providing these services, which helps them improve both their web presence and data utilisation.

Bespoke technology application is developed by the leading IT consultancy brands for ensuring the best competitive experience for their client. UX consultancy has become more and more important as businesses look to improve their online visibility. UX consultants optimise user interactions with platforms and applications by making sure they are simple to use and intuitive. Through user research, wireframe creation, and usability testing, these professionals assist in the design of experiences that live up to contemporary customer expectations. The businesses also provide a plethora of additional services, such as containerisation, application migration and modernisation, that aid businesses with their platforms or apps.

Among the Notable IT Consulting Services Provided by Top Brands

Platform Engineering: With an emphasis on building and managing the infrastructure that facilitates software development and deployment, platform engineering is essential in today's digital environment. Engineers facilitate quicker and more efficient application development and operations through the creation of resilient platforms. This procedure involves automating processes, establishing scalable cloud environments, and guaranteeing system dependability.

Data engineering: Using cutting-edge tools like Databricks, Snowflake, and Microsoft Fabric, data engineers create and manage reliable data pipelines that guarantee effective data flow and storage. This is crucial for turning raw data into actionable insights. Data engineers assist businesses in analysing data to forecast trends by installing and overseeing machine learning technologies.

The top providers of IT consulting services go much beyond the services listed above and include a wide range of other offerings that promote digital client engagement and growth. For the greatest IT and data-driven services, such as serverless application platforms, DevOps automation, data science, cyber security, etc., get in touch with the top consulting firms.

Source - https://playtimesolutions.blogspot.com/2024/07/crafting-future-how-technology-roadmap.html

#bespoke technology #technology roadmap

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snowflakemasrer · 11 months ago

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Snowflake Certification Cost

What is Snowflake Certification?

Snowflake Certification provides significant advantages for both individuals and organizations. For individuals, it offers a clear validation of their skills and expertise, boosting their credibility and attractiveness in the job market. Employers often prefer certified professionals due to their proven proficiency with Snowflake’s technology, which can lead to enhanced career opportunities and higher earning potential.

For organizations, Snowflake Certification ensures their teams possess the essential skills and knowledge to fully leverage the Snowflake platform. Certified employees are more capable of addressing complex data challenges, optimizing performance, and driving innovation. Additionally, having certified professionals can elevate an organization’s reputation and competitive edge, showcasing a commitment to excellence in data management and analytics.

Snowflake different levels of certification

Snowflake offers various certification levels to validate and showcase expertise in using their platform. The certification levels are as follows:

SnowPro Core Certification: This foundational certification tests an individual’s knowledge of Snowflake implementation and migration. Achieving the SnowPro Core Certification is a prerequisite for pursuing SnowPro Advanced certifications.

SnowPro Advanced Certifications: These role-based advanced certifications demonstrate specialized skills and knowledge in specific areas related to Snowflake’s platform. The available certifications are:

SnowPro Advanced: Architect

SnowPro Advanced: Administrator

SnowPro Advanced: Data Engineer

SnowPro Advanced: Data Scientist

SnowPro Advanced: Data Analyst

To maintain your certified SnowPro status, recertification exams are available. These exams are shorter and offered at a reduced price.

The Snowflake certification program helps individuals validate their skills and knowledge in using Snowflake’s cloud data platform, providing a competitive edge in the industry.

Please note that the specific details and requirements of Snowflake’s certification program may change. Refer to official Snowflake resources for the most up-to-date information on their certification levels and requirements.

How Much Does Snowflake Certification Cost?

The cost of Snowflake certification varies based on the specific certification. The current pricing is as follows:

SnowPro Core Certification: $175

SnowPro Advanced Certification: $250

SnowPro Expert Certification: $500

These costs are subject to change. Snowflake may offer promotions or discounts on certain certifications, so it's advisable to check the Snowflake certification website for the latest pricing and updates.

Snowflake certification cost in India

The cost of Snowflake certifications in India may vary depending on the certification level. The current pricing is as follows:

SnowPro Core Certification: $175 (approximately ₹13,000) per attempt.

SnowPro Advanced Certification: $375 (approximately ₹28,000) per attempt, including certifications for Data Analyst, Architect, Database Administrator, and Data Engineer.

These costs are approximate and subject to change. For the most up-to-date information on certification costs in India, visit the official Snowflake website or contact Snowflake directly.

You can find more details and official information about Snowflake certification costs on the Snowflake website.

What Are the Benefits of Snowflake Certification?

The cost of Snowflake certification is justified by its numerous benefits:

Enhance Career Growth: Snowflake certification can significantly aid professionals looking to advance or shift their career pathways. In today’s job market, businesses increasingly seek certified professionals to enhance their data analytics strategies. A Snowflake certification provides proof of knowledge and practical skills.

Increase Employability: With a growing preference for certified professionals, individuals with Snowflake certification have better chances of being hired for data roles across various industries, such as finance, healthcare, and retail.

Strengthen Skills: Snowflake certification programs help individuals upskill and gain refined competence and knowledge, keeping them abreast of the latest industry trends and best practices.

Attractive Salary Benefits: Certified Snowflake professionals often receive higher-than-average salaries, attractive bonuses, and other benefits.

Perspectives on Snowflake Certification Cost

As with any certification program, the value of taking the Snowflake certification exam is subject to debate. Here are some perspectives on the cost of Snowflake certifications:

The Pros:

Higher Salary: Research by Dice shows that data professionals with Snowflake certifications can earn up to $165,000 per annum, highlighting the certification's value in terms of remuneration.

Industry Recognition: Snowflake certifications are widely acknowledged in the tech industry. As Snowflake continues to establish itself as a leading cloud service for data warehousing, analytics, and machine learning, having this certification can be a significant advantage.

Demonstrated Expertise: Snowflake certification indicates a holder’s expertise and practical abilities with Snowflake tools, making them highly competitive for advanced data-driven roles.

The Cons:

Variable ROI: While Snowflake certifications can be essential for certain roles in some industries, the return on investment may not be as clear in others. It’s important to assess the value of the certification in relation to specific career growth opportunities before committing to the cost.

Technology-Specific: Snowflake certification denotes expertise in a particular technology or product, but it does not guarantee success in a specific role. Continuous learning and adaptation are necessary to adjust to varying technologies and workplace scenarios.

In conclusion, weighing the pros and cons and evaluating personal career goals and industry demands is crucial before pursuing Snowflake certification.

Is Snowflake Certification Worth the Cost?

Whether Snowflake certification is worth the cost depends on your career goals, industry demands, and personal circumstances. While the upfront cost may seem significant, the long-term benefits and career growth opportunities can make it a worthwhile investment. Here are some points to consider when assessing the value of Snowflake certification:

Industry Demand

Snowflake has become highly popular in the data warehousing and analytics industry. As more organizations adopt Snowflake, the demand for certified professionals is increasing. Holding a Snowflake certification can set you apart from other candidates and make you more attractive to employers seeking expertise in Snowflake products and technologies.

Career Growth Opportunities

Snowflake certification can open doors to excellent career progression opportunities. Certified professionals often have access to a wider range of job opportunities and can qualify for roles with greater responsibilities and better compensation.

Increased Employability

With the growing emphasis on data-driven decision-making, companies across various industries are actively seeking professionals to manage and analyze data. A Snowflake certification can significantly enhance your employability, making you an attractive candidate for data-focused roles in finance, healthcare, retail, and more.

Skill Enhancement and Market Relevance

Earning a Snowflake certification involves gaining in-depth knowledge and practical skills in working with Snowflake’s tools and technologies. The certification process helps you expand your expertise and stay updated with the latest industry trends and best practices. This continuous learning ensures you remain relevant and adaptable in a rapidly evolving tech landscape.

Competitive Advantage

Snowflake certification can provide a competitive edge in the job market. Being certified demonstrates your commitment to professional development and validates your proficiency in using Snowflake’s cloud-based data warehousing solutions. This advantage can help you stand out among candidates for data-focused roles.

Return on Investment (ROI)

While Snowflake certification comes with a cost, the potential return on investment is important to consider. Certified professionals often earn higher-than-average salaries, attractive bonuses, and other benefits. Additionally, the enhanced career opportunities and job security that come with certification can outweigh the initial investment.

In conclusion, the value of Snowflake certification depends on how it aligns with your career goals and the demand in your industry. The long-term benefits, including increased employability, skill enhancement, and competitive advantage, can make the investment worthwhile.

Jobs after snowflake certification

Obtaining a Snowflake certification can open up various job opportunities in data analytics and cloud computing. Some of the job roles you can consider after achieving a Snowflake certification include:

Data Engineer: As a certified Snowflake professional, you can design and develop data pipelines, data warehouses, and ETL processes using Snowflake. You will ensure data accuracy, security, and optimal performance.

Data Analyst: With Snowflake certification, you can leverage Snowflake’s capabilities to analyze, visualize, and derive insights from large datasets. Your responsibilities will include data discovery, exploratory analysis, and building reports and dashboards using Snowflake.

Cloud Architect: Specializing in Snowflake, you will be responsible for establishing, deploying, and managing data solutions on cloud platforms like AWS, Azure, and Google Cloud, with Snowflake as a key component.

Data Scientist: Leveraging Snowflake’s data warehouse capabilities, you will perform advanced analytics, predictive modeling, and machine learning tasks. Your role will involve deriving insights and making data-driven decisions.

Solutions Architect: You will help organizations design and implement Snowflake-based data solutions. Working closely with clients, you will understand their requirements and provide technical guidance and expertise.

These are just a few examples of the roles available for Snowflake-certified professionals. The demand for skilled Snowflake professionals is constantly growing as more organizations embrace cloud data platforms. It's advisable to explore job listings and network with professionals in your field to identify potential opportunities.

Remember to continuously update your skills and stay informed about the latest industry developments to remain competitive and enhance your career prospects.

Conclusion

In conclusion, while the cost of Snowflake certification can be substantial, it can ultimately be an excellent investment for professionals aiming to advance their careers in data analytics. Snowflake certifications can be a vital asset, showcasing comprehensive knowledge and practical abilities with Snowflake products and technologies, thereby enhancing market value and potential remuneration. As industry trends evolve, it is crucial to evaluate the value of certifications like Snowflake in relation to your career goals.

#snowflake #snowflakeonlinetraining #snowflake course #snowflakemasters

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cleverhottubmiracle · 4 months ago

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norajworld · 4 months ago

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sigmasolveinc · 1 year ago

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Migrating Your On-Prem Data Warehouse to Snowflake Cloud

In today’s fast-paced digital landscape, businesses are constantly seeking ways to streamline their operations, enhance data analysis capabilities, and drive innovation. One of the most significant shifts in recent years has been the transition from on-premises data warehouses to cloud-based solutions, such as Snowflake. This cutting-edge cloud platform has revolutionized the way organizations manage and analyze their data, offering unparalleled scalability, performance, and cost-efficiency. If your organization is still relying on an on-premises data warehouse, it’s time to consider making the move to Snowflake. In this comprehensive guide, we’ll explore the key benefits of migrating to Snowflake and provide you with a step-by-step approach to ensure a smooth and successful transition.

Why Snowflake?

Snowflake is a fully managed, cloud-based data platform that offers a unique blend of performance, scalability, and flexibility. Here are some of the key advantages of adopting Snowflake:

Scalability on Demand: With Snowflake, you can instantly scale your computing resources up or down based on your evolving needs, without the need for complex hardware upgrades or capacity planning.

Cost Optimization: Snowflake’s pay-as-you-go pricing model ensures that you only pay for the resources you consume, eliminating the need for expensive upfront investments in hardware and infrastructure.

Seamless Data Integration: Snowflake simplifies data integration by providing native connectors to a wide range of data sources, enabling you to consolidate data from various systems into a centralized platform.

Advanced Analytics: Snowflake’s powerful analytics capabilities, including support for machine learning and data sharing, empower businesses to derive actionable insights from their data.

High Performance: Snowflake’s unique architecture, leveraging massively parallel processing (MPP) and columnar storage, delivers exceptional query performance, even for complex analytical workloads.

The Migration Process

Migrating your on-premises data warehouse to Snowflake can seem daunting, but with proper planning and execution, the process can be streamlined and efficient. Here’s a step-by-step approach to guide you through the migration:

Assess Your Current Environment: Begin by thoroughly evaluating your existing data warehouse infrastructure, including the data sources, schemas, workloads, and any custom configurations or transformations.

Plan Your Migration Strategy: Based on your assessment, develop a comprehensive migration plan that outlines the scope, timeline, and resources required for the transition. This plan should also address potential challenges and risk mitigation strategies.

Set Up Your Snowflake Account: Sign up for a Snowflake account and configure your virtual warehouse, ensuring that it meets your specific requirements in terms of compute resources, storage, and networking.

Data Extraction and Transformation: Extract your data from the on-premises data warehouse and perform any necessary transformations or cleansing to ensure data integrity and compatibility with Snowflake’s schema.

Load Data into Snowflake: Leverage Snowflake’s robust data ingestion tools, such as Snowpipe or the COPY command, to load your transformed data into your Snowflake account efficiently and securely.

Validate and Test: Once your data is loaded, perform thorough validation and testing to ensure data accuracy, consistency, and compatibility with your existing applications and processes.

Optimize and Tune: Continuously monitor and tune your Snowflake environment to ensure optimal performance and cost-efficiency, taking advantage of features like auto-scaling and multi-cluster warehouses.

Train and Transition: Provide comprehensive training to your team on the new Snowflake environment, ensuring a smooth transition and adoption of the new platform.

Ongoing Maintenance and Support: Establish a robust maintenance and support plan to ensure the long-term success of your Snowflake deployment, leveraging Snowflake’s extensive documentation, community resources, and support offerings.

Partnering for Success

While the migration process can be managed internally, many organizations choose to partner with experienced Snowflake consulting and implementation partners. These partners bring extensive expertise in data migration, cloud architecture, and Snowflake best practices, ensuring a seamless and efficient transition.

By leveraging the knowledge and resources of a trusted partner, you can accelerate your migration timeline, mitigate risks, and maximize the value derived from your Snowflake investment from day one.

Embracing the Future of Data

The move from on-premises data warehouses to Snowflake’s cloud platform represents a transformative shift in how businesses manage and leverage their data. By embracing this transition, organizations can unlock new levels of agility, scalability, and analytical power, positioning themselves for success in an increasingly data-driven world.

With careful planning, execution, and the right partnerships, migrating to Snowflake can be a seamless and rewarding experience, empowering your organization to harness the full potential of its data and drive innovation like never before. Original Source:https://locantotech.com/migrating-your-on-prem-data-warehouse-to-snowflake-cloud/

#Snowflake cloud development #Snowflake implementation #Snowflake solutions provider

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lilymia799 · 1 year ago

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Migrating from SQL Server to Snowflake Essential Steps and Benefits

Transitioning from SQL Server to Snowflake can significantly enhance your data management capabilities. Snowflake's cloud-native architecture offers numerous advantages, including scalability, flexibility, and cost-efficiency, making it a popular choice for modern data warehousing needs. This article outlines the essential steps and benefits of migrating from SQL Server to Snowflake.

Key Steps for Migration

1. Initial Assessment and Planning

Start with a thorough assessment of your existing SQL Server environment. Identify the databases, tables, and other objects that need to be migrated. Understand the data volume, dependencies, and specific requirements of your applications. Develop a comprehensive migration plan that includes timelines, resources, and risk mitigation strategies.

2. Choosing the Right Migration Tools

Select migration tools that facilitate a smooth transition from SQL Server to Snowflake. Tools such as Azure Data Factory, Matillion, and Fivetran can help automate the extraction, transformation, and loading (ETL) processes. These tools ensure data integrity and minimize downtime during the migration.

3. Schema Conversion

SQL Server and Snowflake have different schema structures. Use schema conversion tools to translate SQL Server schemas into Snowflake-compatible formats. Pay attention to data types, indexing, and partitioning strategies to optimize performance in Snowflake.

4. Data Transformation and Migration

Transform your data to align with Snowflake’s architecture. This might involve data cleansing, reformatting, and converting stored procedures and T-SQL code into Snowflake’s SQL dialect. Leverage Snowflake’s capabilities, such as support for semi-structured data and time travel features, to enhance your data operations.

5. Testing and Validation

Perform thorough testing and validation to ensure that the data has been accurately migrated and that all applications function as expected. Validate data integrity, check for any discrepancies, and conduct performance testing to ensure that Snowflake meets your performance requirements.

6. Security and Compliance

Implement robust security measures to protect your data during and after the migration. Ensure that access controls, encryption, and compliance requirements are met in the Snowflake environment. Snowflake provides extensive security features, including role-based access control and end-to-end encryption.

Benefits of Migrating to Snowflake

1. Scalability and Performance

Snowflake’s architecture allows for automatic scaling of compute resources to handle varying workloads efficiently. This elasticity ensures consistent performance without manual intervention, making it ideal for businesses with growing and fluctuating data needs.

2. Cost Efficiency

With Snowflake’s pay-as-you-go pricing model, you only pay for the storage and compute resources you use. This can lead to significant cost savings, especially for organizations with variable data workloads. Snowflake's separation of storage and compute allows you to optimize resource usage and reduce costs.

3. Simplified Data Management

Snowflake offers a fully managed service, reducing the burden of database administration. Automatic updates, maintenance, and performance tuning are handled by Snowflake, allowing your IT team to focus on more strategic tasks and innovations.

4. Advanced Analytics Capabilities

Snowflake supports diverse data types and integrates seamlessly with various data analytics tools. This enables advanced analytics and machine learning applications, allowing you to gain deeper insights from your data. Snowflake’s support for semi-structured data like JSON, Avro, and Parquet enhances your analytical capabilities.

5. Enhanced Data Sharing and Collaboration

Snowflake’s secure data sharing capabilities facilitate seamless collaboration across departments and with external partners. Real-time data sharing without the need for complex ETL processes improves efficiency and enables better decision-making.

6. Robust Security Features

Snowflake incorporates comprehensive security measures, including end-to-end encryption, role-based access control, and detailed auditing capabilities. These features ensure that your data remains secure and compliant with regulatory standards.

#SQL server to snowflake

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unogeeks234 · 1 year ago

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SNOWFLAKE ON PREM

Snowflake’s Expansion: Bringing Cloud Advantages to On-Premises Data

Snowflake’s cloud-native architecture has disrupted the data warehousing world. Its storage and compute layer separation, near-infinite scalability, and pay-as-you-go model have been game-changers. However, Snowflake’s fully cloud-based design historically presented limitations for organizations bound by strict data residency regulations or those reluctant to transition fully to the cloud. Snowflake is addressing this with strategic advancements in hybrid capabilities.

The Evolution of Snowflake: From Cloud-Only to Hybrid

Until recently, Snowflake required all data to be stored within its cloud infrastructure. That’s changing. Here’s why and how:

Understanding the Need: Security and compliance are paramount for many companies. Regulations like GDPR, healthcare privacy laws, and industry-specific standards often mandate that sensitive data remain on-premises. Additionally, some organizations prefer maintaining local control over core datasets.

Snowflake’s Response: Snowflake recently introduced the ability to work with on-premises data using External Stages and External Tables. This lets organizations query their existing on-premises data lakes directly from Snowflake without any data movement.

Critical Use Cases for Snowflake with On-Premises Data

Hybrid Data Warehousing: Snowflake can now be the centralized analytics platform for your cloud-based and on-premises datasets. Analyze everything in one place, regardless of storage location.

Gradual Cloud Migration: Not ready for a complete cloud leap? Start by analyzing existing on-premises data with Snowflake. This “test drive” lets you experience Snowflake’s benefits before committing to a full migration.

Data Lake Analytics: If you have an S3-compatible on-premises data lake (like Cloudian HyperStore), you can query and analyze JSON, Parquet, ORC, and Avro files with Snowflake, enjoying the processing power and governance Snowflake provides.

Joining Cloud and On-Premises Data: Enrich your analytics! You can now quickly join cloud datasets with on-premises ones within Snowflake.

Benefits of Snowflake’s Hybrid Approach

Flexibility: Snowflake becomes more adaptable, meeting the needs of a broader range of organizations bound by data location requirements.

Centralized Control: Get a holistic view of both cloud-based and on-premises data. Snowflake’s governance, security, and user management tools apply even when accessing data on-premises.

Faster Insights: Unlock new insights by combining traditionally disparate data stores without the complexity of data replication.

Things to Note

This functionality is evolving, so expect improvements and expanded capabilities over time.

Performance may vary depending on network connectivity between your Snowflake instance and the on-premises data.

Additional configuration may be required for on-premises systems to expose data in a format compatible with Snowflake.

The Future of Snowflake and On-Premises

Snowflake’s inclusion of on-premises data marks a significant turning point. It opens up possibilities for organizations that couldn’t previously consider its powerful features. The future likely holds continued innovation in hybrid solutions, making Snowflake an even more compelling choice for a broader range of enterprises.

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garciashawn818 · 2 years ago

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"Seamless Data Migration: Oracle to Snowflake Integration"

In the ever-evolving landscape of data management and analytics, organizations often find themselves needing to migrate their data from one platform to another. Oracle, a widely-used relational database system, and Snowflake, a cloud-based data warehousing platform, are two powerful tools that serve different purposes in the data ecosystem. This article explores the significance of migrating data from Oracle to Snowflake, the challenges involved, and the strategies for a successful transition.

Why Migrate from Oracle to Snowflake?

1. Cloud Transformation

As businesses increasingly move to the cloud for enhanced scalability, flexibility, and cost-efficiency, Snowflake's cloud-native architecture becomes an attractive choice. Snowflake's platform is designed from the ground up for the cloud, offering seamless integration with popular cloud providers like AWS, Azure, and Google Cloud.

2. Scalability

Snowflake's elastic scaling capabilities allow you to scale your data warehouse resources up or down as needed. This means you can efficiently handle varying workloads and reduce costs during periods of lower demand.

3. Improved Performance

Snowflake's architecture leverages the power of modern cloud computing, resulting in faster query performance and the ability to handle large datasets. This is particularly advantageous for data-intensive industries such as e-commerce and analytics.

4. Concurrency

Snowflake excels in supporting multiple users and concurrent workloads. It provides robust data sharing and collaboration features that make it easier for organizations to work with external partners or clients.

Challenges in Oracle to Snowflake Migration

While the benefits of migrating to Snowflake are clear, the process itself can be complex and challenging. Here are some common hurdles:

1. Data Mapping and Transformation

Data in Oracle may need to be transformed to align with Snowflake's data structure and best practices. Ensuring data consistency and integrity during this transformation is critical.

2. Downtime and Data Migration

Minimizing downtime during migration is crucial for business continuity. Careful planning and execution are required to move data from Oracle to Snowflake without impacting operations.

3. Compatibility Issues

Oracle and Snowflake use different SQL dialects, which can lead to compatibility issues during migration. Ensuring that queries, stored procedures, and triggers work seamlessly in Snowflake is essential.

4. Testing and Validation

Thorough testing and validation of the migrated data are necessary to guarantee accuracy and reliability. Any discrepancies or data quality issues must be addressed before transitioning to Snowflake.

Strategies for Successful Migration

1. Comprehensive Assessment

Begin with a detailed assessment of your existing Oracle database, including data structures, dependencies, and business requirements. This analysis will help you create a migration plan tailored to your organization's needs.

2. Data Mapping and Transformation

Develop a robust data mapping and transformation strategy. Identify the necessary data transformations, create migration scripts, and validate the transformed data to ensure consistency.

3. Choose the Right Tools

Utilize migration tools and services provided by Snowflake, as well as third-party tools if needed, to streamline the migration process. These tools can assist in data extraction, transformation, and loading (ETL).

4. Performance Optimization

Optimize your queries and workload to take advantage of Snowflake's performance capabilities. This may involve reevaluating and rewriting SQL queries to align with Snowflake's strengths.

5. Testing and Validation

Conduct thorough testing and validation of the entire migration process, from data extraction to query performance. Identify and address any issues before the final migration.

6. Training and Documentation

Train your team on Snowflake's features and best practices to ensure a smooth transition. Create documentation to support ongoing data management and usage within Snowflake.

Migrating from Oracle to Snowflake is a strategic move that can lead to improved data management, scalability, and performance. While the process presents challenges, careful planning, the right tools, and a focus on data integrity and performance optimization can pave the way for a successful migration. As organizations increasingly embrace cloud-native data solutions, Oracle to Snowflake integration becomes a crucial step in their data transformation journey.

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