March 6, 2019
TECH TALK: AtScale, Hive, Druid: A Match Made In HeavenThe rapidly exploding demand for business intelligence on big data is nothing new - this trend is clearly indicated in recent Big Data Maturity surveys. As shown in the graphic below, 75% of respondents are planning on deploying BI workloads…
Yesterday, Gartner published 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. Contrary to last year’s…
It may seem like only yesterday that we said goodbye to 2017, but we are almost half-way through 2018. Big things in Big Data happened in the month of April. Many of us watched Mark Zuckerberg testify in front of…
March 4, 2019
What You Might Have Missed in May 2018Summer is fast approaching and big data is (still) growing. While you were preparing for the coming hot summer days, you may have missed some of May’s big data news. Without further ado, here is what you might have missed…
As the World Cup is kicking off, some of us might be spending a lot of sleepless nights (or waking up earlier) to watch the games. Here is a fun fact: the most anticipated match is from Group H, Japan…
We 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…
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…
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,…
When we started AtScale five years ago, there were just five of us, driven by the desire to change the way enterprises deliver analytics to the business. AtScale was born out of necessity. At Yahoo!, my team and I had…
