When we started AtScale 5 years ago, there were just 5 of us, driven by the desire to change the way enterprises deliver analytics to the business.
This post will dive deeper into the core components of the cloud data lake and show how customers are now able to deliver modern, agile business intelligence on top of the data stored in these lakes.
Announcing AtScale Cloud, try AtScale on Amazon AWS, Google Cloud Launcher and Microsoft Azure.
If you're a sucker for great market data like I am, you must have heard of Mary Meeker. She' a partner at Kleiner Perkins Caufield & Byers and is known in the Valley as a specialist in digital businesses. She has been credited with having a deep understanding of what makes businesses succeed & fail.
Dataworks Summit is just around the corner. Here are a few sessions you should check out.
“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Charles Amara
Wonder what happened in April in the world of Big Data? Check out this blog for what you might have missed in April 2018.
This article describes the most flexible implementation for creating time intelligent analysis using AtScale and Tableau.
Every once in awhile, the ultimate question comes up: "What is the best analysis tool for BI on Hadoop?!"...
As an organization, AtScale prides itself on our ability to learn and adapt to observed empirical evidence, so over the five years and hundreds of customers, we’ve made some observations that have been consistent enough that I submit that they are in fact worthy of the term I just made up...
Choosing the right big data use case may not be the easiest thing, but it will bring great benefits to your organization.
Often times, customers approach me with questions around AtScale’s ability to integrate into customer’s operational stack. As part of these blog series, I wanted to highlight a component of AtScale’s Development Extensions called Webhooks.
Wonder what happened in March in the world of Big Data? Check out this blog for what you might have missed in March 2018.
If you are like me, a Tableau fan, you’ve probably used Tableau for many years, attended numerous Tableau Conferences, and cheered with great enthusiasm when the engineers at Tableau demonstrated the latest and greatest enhancements to the software.
You might remember that, when we refer to “The Cloud”, we talk about the infrastructure that lets your people do data analytics at a wide scale. We’ve written pieces like “the 6 principles of modern data architecture” to provide a guide for how to ‘treat data’ through your modernization journey. And we’ve provided tools like the Data Maturity Survey to assess where you might be, along that journey. This week, we’re sharing a piece from 451 Research that we think will help you survive through the inevitable ups and downs of your digital and cloud transformation.
The investment in big data made in recent years by companies has been significant. Many are now looking to capitalize on the insights to be discovered in their expansive data lakes. Developing an analytic solution is a difficult and laborious process.
Congratulations! Your data is controlled, aggregated and turbocharged in your AtScale virtual cube. You have Tableau to create remarkable visualizations. Your data is happy! But are your cube designers and business users? For instance, did you know that centralizing calculations in your AtScale...
With the release of AtScale 6.5, we’ve continued to build on and expand AtScale’s ability to uniquely deliver on the promise of Data Lake Intelligence. If this sounds like something you might be interested in knowing more about…
AtScale announces the release of a new and powerful method of computing percentile estimates on Big Data by combining the well known t-Digest algorithm...