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…
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…
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…
“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Charles Amara Mr Amara, an American researcher and futurist, probably didn’t anticipate how much wisdom was encapsulated…
March 5, 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?!" * AtScale is not in the business of favoring one tool versus the other. We are in the business of making…
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…
What does it take build and support a team of data scientists? Conducting exploratory data analysis or even basic business intelligence on Hadoop often requires input from data scientists who: Create models for related information across Hadoop. Structure databases to…
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…
