March 11, 2019

Conceiving Valuable Data Driven Insights

How valuable is an insight if you don’t know what’s driving it? 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…

Posted by: James Burr

March 8, 2019

IMPROVE BI PERFORMANCE THROUGH EFFICIENT TIME-SPECIFIC CALCULATIONS

The more things change, the more they stay the same. There is tremendous push towards new platforms capable of dealing with massive amounts of data. Data is flowing at a scale once considered impossible, and the sources of data are…

Posted by: Arnold Yeung

March 7, 2019

Cloud Cost Optimization: How to Reduce Cloud Data Warehouse Costs

I’ve never seen a faster adoption of a new technology platform than I have with the introduction of a cloud Data Warehouse. Companies of all sizes have embraced the power and ease of use of BigQuery, RedShift, Azure SQL Data Warehouse,…

Posted by: Matt Baird

March 6, 2019

Hadoop: What has changed?!

Every once in awhile, 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 a few examples of cases across common industries like financial services…

Posted by: Bruno Aziza

March 4, 2019

Unprecedented Concurrency with AtScale and Cloudera Impala

Just last week Cloudera released some impressive performance numbers showing how the Impala SQL-on-Hadoop engine scales to support concurrent query workloads. The Cloudera blog post confirms what we at AtScale have experienced with real-world customer installations – that Impala plus…

Posted by: Joshua Klahr

TECH TALK: BI Performance Benchmarks with BigQuery from Google

In the world of Business Intelligence and Big Data there continue to be a number of exciting innovations as new and improved options for processing large data sets appear on the market. You may be familiar with AtScale’s BI-on-Hadoop Benchmarks…

Posted by: Joshua Klahr

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