#real time analytics

[automatrixinnovationindia]

[graymattersoftware]

How Data Warehousing Solutions Drive Business Intelligence

Enhance business intelligence with GrayMatter's data warehousing solutions, offering seamless integration, real-time analytics, and advanced reporting. Discover how our efficient data storage, scalability, and advanced reporting tools drive business growth and operational efficiency. For more read the blog.

[fazizov]

How to intelligently monitor and react to the changes in your #realtimeanalytics system using #DataActivator in #microsoftfabric? In this end-to-end #tutorial, I explain core Data Activator components and demonstrate their usage. Check out here:

https://youtu.be/SkBCbmSA9sE

[sapanalytics]

Unlocking the Power of Data at the Edge: The Marriage of Edge Computing and Big Data

In the not-so-distant past, the idea of processing and analyzing vast amounts of data on devices like smartphones, sensors, and industrial machines seemed like a pipe dream. Data had to travel to centralized servers or cloud data centers for analysis, which often resulted in latency issues and delays in decision-making. But the landscape of data processing is rapidly evolving, and in the spotlight today is the dynamic duo of "Edge Computing" and "Big Data."

Imagine a world where data is not just generated and sent to a distant server for analysis but is analyzed right where it's created, at the edge of the network. This is the promise of edge computing, a paradigm that's reshaping the way we think about data processing.

The Rise of Edge Computing

Edge computing is a distributed computing model where data processing occurs close to the data source, i.e., at the "edge" of the network. It brings computation and data storage closer to where data is being generated, reducing latency, improving response times, and enabling real-time decision-making. This is particularly crucial for applications that demand low-latency, such as autonomous vehicles, IoT devices, and industrial automation.

One of the primary drivers behind the adoption of edge computing is the exponential growth of data. With the proliferation of IoT devices and sensors, we're drowning in data. Traditional cloud computing architectures struggle to cope with the sheer volume of data generated in real-time. Edge computing steps in as a practical solution, allowing businesses to process and filter data locally before sending only relevant information to the cloud or data center.

The Marriage of Edge Computing and Big Data

Enter big data – the juggernaut of modern data analytics. Big data refers to the large and complex datasets that are too massive for traditional data processing applications to handle. It's all about collecting, storing, and analyzing data to extract valuable insights. The synergy between edge computing and big data is where the magic happens.

Here's how they work together:

Data Filtering and Reduction: Edge computing helps filter data at its source. Instead of sending raw, unprocessed data to a central server, edge devices can preprocess and filter the data, sending only the most critical information for further analysis. This reduces the volume of data that needs to be transmitted and stored, cutting down on bandwidth and storage costs.

Real-time Analytics: Edge devices can perform real-time analytics on the filtered data. For applications like self-driving cars, immediate decision-making is paramount. Edge computing allows these vehicles to process sensor data in real-time, making split-second decisions without relying on a remote server.

Improved Privacy and Security: Since sensitive data remains closer to its source, there's less risk of data breaches during transit. This is particularly significant for applications that deal with personal or sensitive information.

Scalability: Edge computing can easily scale by deploying additional edge devices as needed. This scalability is crucial as data volumes continue to grow.

Faster Response Times: With data processing occurring at the edge, response times are significantly reduced. This is a game-changer for applications that require instant responses, like augmented reality experiences or remote robotic surgery.

Real-World Applications

The fusion of edge computing and big data has far-reaching implications across various industries:

1. Healthcare

Imagine a scenario where wearable devices continuously monitor a patient's vital signs and send this data for real-time analysis at the edge. Any anomalies can trigger immediate alerts to healthcare providers, potentially saving lives.

2. Smart Cities

In smart cities, sensors can monitor traffic conditions, air quality, and energy consumption. Edge computing can process this data locally to optimize traffic flow, reduce pollution, and improve energy efficiency.

3. Manufacturing

In manufacturing, sensors on machines can detect defects or signs of wear in real-time. This information allows for predictive maintenance, reducing downtime and saving costs.

4. Retail

Retailers can use edge devices to analyze customer behavior in stores. This data can be used to personalize marketing, optimize store layouts, and improve customer experiences.

5. Agriculture

In agriculture, sensors in the field can monitor soil conditions, weather, and crop health. Edge computing can provide farmers with actionable insights for precision agriculture.

Challenges and Considerations

While the marriage of edge computing and big data is promising, it comes with its share of challenges. Edge devices often have limited processing power and storage capacity compared to centralized servers. Managing a distributed edge infrastructure can also be complex.

Moreover, ensuring data consistency and security across edge devices requires robust strategies. Data must be synchronized, and security measures must be in place to safeguard sensitive information.

Conclusion

Edge computing and big data are transforming the way we handle data, making real-time analysis and decision-making a reality. This powerful combination is poised to drive innovation across industries, from healthcare and manufacturing to retail and agriculture.

As technology continues to advance, we can expect edge computing to become even more integral to our lives, enabling a new era of efficiency, responsiveness, and data-driven insights. The edge is where the action happens, and it's redefining the possibilities of what we can achieve with the ever-expanding sea of data at our fingertips.

[campgender]

not to be a sociologist on main but the responses of like “of course high femmes don’t ‘not do anything,’ we put effort in through xyz means” don’t really do it for me. like instead i wanna ask why is the idea of sex that isn’t (physically) “reciprocal” morally reprehensible to you? why do you prioritize reciprocity over consent? why is laziness a bad thing, and why do you talk about leisure sex in terms of work? do you actually want to be doing what you’re doing?

anyway high femme 🤝 ace 🤝 sex worker solidarity because i really only see these kinds of conversations happening in the latter two spaces

[lialox]

There are two matching lines in ORV about Kim Dokja making a point to notice the blood on the window of the subway. It's closely tied to the changing of realities.

ORV - Chapter 5

At the beginning of the scenarios, Kim Dokja stares at his reflection and wonders (metaphorically) if the blood is on his hands. Whose fault is it that all these people had to die? It’s the Star Stream’s! The evil dokkaebis!! The blood is only on the window, and not on him, because it’s not!! His!! Fault!!

At the end, just before meeting the Oldest Dream, he already knows what’s waiting on the other side. The blood is on him. He IS the Star Stream. He is the driving force of the apocalypse and all the worldlines of the scenarios.

ORV - Chapter 513

These scenes only appear when he steps out of or into the subway. The start of his journey and the end of his journey. The shift of his reality, from living a life of ‘realism’ as a salaryman, to a life of fantasy and adventure as the ‘protagonist’ helping YJK clear the Final Scenario with no losses. Then changing realities once again by ascending to some form of godhood/ethereal dead wife/omnipresent ghost.

He believes he’s a hero: great, then he is! He believes he’s this monster responsible for all the suffering in the universe: great, then he is! The world is altered by our perception of ourselves. Because his worldview is taken rather literally in a universe that runs on his perception do things end up the way they did.

[emailsicantsnd]

"I see artists like Chappell, Reneé Rapp, and Sabrina Carpenter taking music and just having fun while bringing their own style to everything which is really inspiring.” - Avril Lavigne

[vee-lociraptor]

me vs the fear that people think im genuinely stupid

[thebuttsmcgee]

Man. I just get so actually legitimately sad each time I remember that toh ended and that we live in the post-toh world. Like it really is over.

Ms Dana Terrace has said that she'd like to do more given the chance (and after some quality time off of bigger projects, just to chill), but as far as we know, it's the end.

Heck, we barely got anything after the final episode, no books, no special merch, no dedicated little chibi shorts, nothing really, aside from the, thankfully fun, get-togethers of the cast and crew!

Idk. Ah well actually nah, I do know, that this show just meant an enormous lot to me. Incredibly huge, the kind that you can't break away from and wouldn't want to anyway. The kind that feels like, man, where would I be without it.

Happy 1 Year, to the end of The Owl House. Thank you, The Owl House.

I hope the future is bright, for all of us.

[graymattersoftware]

https://www.graymatter.co.in/maximizing-airport-retail-success-with-retail-business-intelligence-solutions/

Unlock the potential of airport retail with advanced Retail Business Intelligence solutions. Discover how data-driven insights and analytics can maximize success, enhance customer experience, and drive revenue growth in the airport retail sector.

[sbeana]

the chappell roan stuff just shows people's real colors. i unfollowed an account on instagram that said that chappell gives horrendous vibes and that she seems catty and mean because of the video she posted telling people to not stalk her or harass her in the street. if you think that a celebrity setting boundaries for fans for their comfort and for the fan's comfort is "horrendous vibes," that says all it needs about you as a person. send tweet

[fazizov]

How to intelligently monitor and react to the changes in your #RealTime #Analytics data? In this #tutorial, I introduce you to Data Activator service in #Microsoft Fabric. I explain core Data Activator/Reflex components and demonstrate their usage. Check out here: https://youtu.be/SkBCbmSA9sE

[atozofsoftwareengineering]

Intelligent Automated Risk Management (IARM): Enhancing Risk Identification and Decision-Making

Unlock the future of risk management with Intelligent Automation: smarter, faster, and more proactive. #RiskManagement #AI #MachineLearning #Automation #BigData #Fintech #Healthcare #CyberSecurity

Introduction In an era where businesses face a myriad of risks—from financial uncertainties to cyber threats—traditional risk management approaches often struggle to keep up with the pace and complexity of emerging risks. Intelligent Automated Risk Management (IARM) offers a transformative approach by integrating cutting-edge technologies to enhance risk identification, assessment, and…

[cats-in-the-clouds]

it is unfortunate when i go to prayer and cry my eyes out and the only response i really hear is that i simply have to bear it. like usually i can get my emotions out and once they’re settled i hear a rational solution but it sucks when i don’t get the answer i want. i just have to keep waiting. like normally i hear something that gives me strength but wow apparently i’ve hit a new low