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May 16, 2018

2018 Dataworks Sessions You Should Check Out

Dataworks Summit is just around the corner. Here are a few sessions you should check out.

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By Ashley Huang
May 16, 2018
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May 4, 2018

Big Data: Hope or Hype?! What the research says…

“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Charles Amara

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By Bruno Aziza
May 4, 2018
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May 2, 2018

What You Might Have Missed in April 2018

Wonder what happened in April in the world of Big Data? Check out this blog for what you might have missed in April 2018.

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By Ashley Huang
May 2, 2018
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April 25, 2018

Looking for the Perfect Date using AtScale and Tableau

This article describes the most flexible implementation for creating time intelligent analysis using AtScale and Tableau.

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By Tricia Lord
April 25, 2018
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April 20, 2018

What's the best BI tool for Hadoop?

Every once in awhile, the ultimate question comes up: "What is the best analysis tool for BI on Hadoop?!"...

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By Bruno Aziza
April 20, 2018
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April 18, 2018

10 AtScale Scientific Observations

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...

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By Matthew Baird
April 18, 2018
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April 12, 2018

Selecting The Right Use Case For Your Big Data Implementation

Choosing the right big data use case may not be the easiest thing, but it will bring great benefits to your organization.

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By Monoo Prasad
April 12, 2018
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April 9, 2018

API - Using AtScale’s Webhooks

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.

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By Vadim Gekhman
April 9, 2018
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April 2, 2018

What You Might Have Missed in March 2018

Wonder what happened in March in the world of Big Data? Check out this blog for what you might have missed in March 2018.

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By Ashley Huang
April 2, 2018
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March 21, 2018

Through the Eyes of a BI Author: Why Tableau and AtScale make a great solution together

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.

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By Wendy Gradek
March 21, 2018
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March 16, 2018

Is The Cloud Right For You?!

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.

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By Lucio Daza
March 16, 2018
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March 13, 2018

Conceiving Valuable Data Driven Insights

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.

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By James Burr
March 13, 2018
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March 8, 2018

Happy Data = Happy Users? Maximizing AtScale and Tableau

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...

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By Tricia Lord
March 8, 2018
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March 6, 2018

Announcing AtScale 6.5

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…

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By Joshua Klahr
March 6, 2018
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February 27, 2018

Supercharge Your Percentile Calculations for Big Data (Part III)

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...

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By Daren Drummond
February 27, 2018
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February 27, 2018

Gartner Magic Quadrant for Analytics and Business Intelligence Platforms 2018: What's New?!

Yesterday, Gartner published the 2018 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade. It is THE document of reference for buyers of Business Intelligence technology. At face value, not much seems to have changed...BUT, if you take a closer look, you'll notice that some of the biggest changes in the history of the Magic Quadrant just occurred....

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By Bruno Aziza
February 27, 2018
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February 26, 2018

Supercharge Your Percentile Calculations for Big Data (Part II)

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...

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By Daren Drummond
February 26, 2018
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February 25, 2018

Gartner Magic Quadrant for Business Intelligence (BI) 2018: The Good, The Bad, The Ugly...

Every year, many of you reach out to thank us for our analysis of Gartner's famous Magic Quadrant for Business Intelligence. Thank you all for your feedback! This year, we've decided to go one step further: in addition to our written analysis, we will be sharing our perspective as part of our..

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By Bruno Aziza
February 25, 2018
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February 23, 2018

Supercharge Your Percentile Calculations for Big Data (Part I)

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...

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By Daren Drummond
February 23, 2018
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February 18, 2018

Gartner Magic Quadrant for Business Intelligence (BI) 2017: The Good, The Bad and The Wookie?!

Gartner published yesterday the 2017 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade; it is THE document of reference for buyers of Business Intelligence technology.

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By Bruno Aziza
February 18, 2018
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