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April 9, 2019

Snowflake & AtScale, A Perfect Fit

As part of its new partnership with Snowflake, AtScale has implemented features that augment Snowflake's use of different-sized warehouses to optimize cost and compute.

March 7, 2019

Cloud Cost Optimization: How to Reduce Cloud Data Warehouse Costs

Learn how AtScale enables enterprises to optimize cloud costs and increase query performance on any cloud environment.

March 7, 2019

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..

March 7, 2019

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....

March 7, 2019

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...

March 6, 2019

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.

March 6, 2019

The True Cost of Doing Big Data…the Old Fashioned Way…

Despite the challenges associated with data warehousing, enterprise IT leaders have accepted it as a necessary evil...

March 6, 2019

TECH TALK: BI-on-Hadoop Engine Wars Continue…Everybody Wins

Business Intelligence on Hadoop Benchmark

March 6, 2019

TECH TALK: AtScale, Hive, Druid: A Match Made In Heaven

The rapidly exploding demand for BI on big data is nothing new - this trend is clearly indicated in the latest Big Data Maturity surveys (2015 and 2016).

March 6, 2019

TECH TALK: AtScale 6.0 brings Universal Semantic Layer Benefits to Google Cloud

It’s hard to believe that October is here. It feels like only a few days ago that we released AtScale 5.0 and AtScale 5.5. Both releases contained a number of..

March 6, 2019

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...

March 6, 2019

Hadoop: What has changed?!

Every once in a while, our team gets questions about the validity of Hadoop. Why it exists, why people should consider using it...etc. In the below video, I provide...

March 6, 2019

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.

March 6, 2019

AtScale and HDInsight on Microsoft Azure

You don’t have to be a clairvoyant to know that there is an ever-increasing trend in cloud adoption among start-ups and enterprises alike.

March 6, 2019

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.

March 4, 2019

Which Cloud Data Warehouse Should I Migrate to: Redshift, BigQuery or Snowflake?

Enterprises are trusting cloud data warehouses with greater frequency. Amazon Redshift, Google, and Snowflake are three of the main players in the CDW space.

March 4, 2019

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?!"...

March 4, 2019

What You Might Have Missed in May 2018

http://techgenix.com/data-analytics-business-intelligence/

March 4, 2019

What You Might Have Missed in June 2018

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

March 4, 2019

What is a Universal Semantic Layer? Why Would You Want One?

In BI, the key abstraction used in the majority of implementations is called the “semantic layer." Learn the uses of the semantic layer and if your business needs one.