Updated March 4, 2019

The Hidden Costs of Self-Service BI Initiatives

While it may be tempting to focus our efforts only on self-service BI in terms of security and access control mechanisms, it is important to also place emphasis on economies to achieve success. When an enterprise develops a self-service BI…

Posted by: Javier Guillen

Updated March 4, 2019

TECH TALK: Scale-Out Business Intelligence with Hadoop

The growing popularity of big data analytics coupled with the adoption of technologies like Spark and Hadoop have allowed enterprises to collect an ever increasing amount of data - in terms of breadth and volume. At the same time, the…

Posted by: Joshua Klahr

Updated March 4, 2019

TECH TALK: First-Child & Last-Child Measures in Hadoop

As more and more enterprises adopt Hadoop as their next generation data platform, the demands of traditional enterprise workloads, including support for Business Intelligence use cases, are creating challenges. While Hadoop excels at low-cost distributed storage and parallel data processing,…

Posted by: Joshua Klahr

Updated March 4, 2019

Supercharge Your Percentile Calculations for Big Data (Part I)

Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. A new and powerful method of computing percentile estimates on Big Data is now available to you! By combining the well known t-Digest algorithm with AtScale’s semantic layer and smart aggregation…

Posted by: Daren Drummond

Updated March 4, 2019

Supercharge Your Percentile Calculations for Big Data (Part III)

Additional contribution by: Santanu Chatterjee, Trystan Leftwich, Bryan Naden. In the previous post we demonstrated how to model percentile estimates and use them in Tableau without moving large amounts of data. You may ask, "how accurate are the results and…

Posted by: AtScale