This morning, Gartner released their famous "Magic Quadrant for Operational Database Management Systems". In this year's edition, you'll find lots of new developments. I like to look at last year's MQ and this year side by side so I can get a feel for how the market is shaping up. Here are my first observations...
October is an incredibly busy month for Data professionals. First, the Strata O'Reilly Conference takes us East to mingle with thousands of data nerds and debate on the future of Hadoop. Then, the Tableau Conference takes us back West to challenge Directors of Analytics and Business Intelligence to connect their tools to the "Data Lake".
Our team is headed to the Javits Convention Center next week for the Strata + Hadoop World Conference. We are excited to meet all you to discuss the future of BI, particularly BI on Hadoop.
The Cloudera blog post confirms what we at AtScale have experienced with real-world customer installations – that Impala plus AtScale is a scalable solution for running concurrent, interactive business intelligence (BI) queries on Hadoop.
Open source Hadoop delivers levels of flexibility, agility and scalability that can open up limitless possibilities for business analytics.
You've heard about Hadoop and what it means for your BI. But here we get down to the nitty gritty in the Do's and Dont's of Integrating Hadoop.
What an incredible week this past week has been! When we started AtScale, we knew that the industry needed a solution to connect the Hadoop world and the Analytics space – two markets evaluated to reach $50B each, fast growing but disconnected. We just didn’t anticipate the demand and excitement we’ve been blessed with since we started! This past Tuesday, we announced...
We put together a questionnaire that takes 5 mins to complete, scores answers dynamically, and gives you a position along the Hadoop Maturity continuum (stages include experimental, strategic and transformational). The model will even provide guidance in case you don’t have Hadoop yet!
When Dave Mariani was at Yahoo!, his team processed over 30 billion events per day and the company accounted for almost half of the world’s online traffic. At Klout, Dave’s team scored almost half of Facebook’s data and managed a 200 Hadoop node cluster that ingested 12B+ signals/day. We discuss his work and how you too can optimize your infrastructure to do BI on Hadoop right.
Here at AtScale, we love data. Join us on our journey to put big data to work for everyone.