March 4, 2019
Three Trends From Dataworks Summit 2018We did it again! The AtScale team was present at the Dataworks Summit 2018 in San Jose, California. We hope you had the opportunity to attend some, if not all, of the great sessions that we suggested. If you missed…
Disruptive technologies inevitably lead to the emergence of new job functions across all levels of an enterprise. The emergence of cloud computing is no different. Companies are positioning themselves to take advantage of the benefits cloud computing provides and with…
The joy of working as a Customer Success Solution Architect is that I have the opportunity to work with many different customers and each challenges us with a different Big Data use case. I've worked with enterprises that offload their…
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…
Trystan here, Software Engineer and doer of all things technical at AtScale. Which SQL-on-Hadoop engine performs best? We get this question all the time! We looked around and found that no one had done a complete and impartial benchmark test…
Wouldn’t it be great if you could load all of your data from a single file into an Excel pivot table for easy analysis? Unfortunately, this approach isn’t usually viable when dealing with complex business analytics and big data. Take…
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…
I’ve asked it before and I’ll ask it again. Wouldn’t it be great if you could easily analyze ALL your data from a Excel single file? We all know this isn’t feasible; especially when dealing with big data and complex…
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,…
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…
