10 AtScale Scientific Observations

Five years ago we had a hypothesis that Business Intelligence (BI) needed a reboot. We planned to take the best parts of original BI ideas and merge them with modern engineering and data analytics to build a platform for delivering…

Posted by: Matthew Baird

How to Become Data Driven in Four Easy Steps

Does your decision-making process need an overhaul? In 2015, over 60% of the decisions made by companies were still based on ‘intuition’ or ‘experience’ of their executive team. With the rise of big data, it is imperative that we make…

Posted by: Lucio Daza

March 6, 2019

What You Might Have Missed in March 2018

March is gone and Spring has arrived, at least for many of us. A lot happened in March, and we certainly don't want you to miss out on what’s big on big data. Without further ado, here is what you…

Posted by: Ashley Huang

TECH TALK: BI-on-Hadoop Engine Wars Continue…Everybody Wins

Just this week, AtScale published the Q4 Edition of our BI-on-Hadoop Benchmark, and we found 1.5X to 4X performance improvements across SQL engines Hive, Spark, Impala and Presto for Business Intelligence and Analytic workloads on Hadoop. Bottom line, the benchmark…

Posted by: Joshua Klahr

TECH TALK: AtScale, Hive, Druid: A Match Made In Heaven

The 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…

Posted by: Joshua Klahr

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

What You Might Have Missed in April 2018

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…

Posted by: Ashley Huang

Big Data: Hope or Hype?! What the research says…

“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…

Posted by: Bruno Aziza