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

Three Trends From Dataworks Summit 2018

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…

Posted by: Lucio Daza

The Ultimate Big Data Architecture Checklist

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…

Posted by: Rudy Widjaja

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

Three Trends From Dataworks Summit 2018

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…

Posted by: Lucio Daza

The Ultimate Big Data Architecture Checklist

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…

Posted by: Rudy Widjaja