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

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

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…

Posted by: Bruno Aziza

March 4, 2019

What You Might Have Missed in May 2018

Summer 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…

Posted by: Ashley Huang

What You Might Have Missed in June 2018

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…

Posted by: Ashley Huang

What are the Costs of Building a Team of Data Scientists?

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…

Posted by: AtScale

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