A widely recognized impediment to the promise of Big Data analytics is the complexity of using Hadoop to discover and apply business insights from any type and size of data. Now, with the integration ...

“Hunk gives business analytics teams using Hadoop in their stack an enormous opportunity to improve overall efficiency for everyone – the analysts can more quickly explore data and create ...

Dec. 12 — The Webinar series will demonstrate, using a genuine case study example from the telecommunications industry, how to go from data in Hadoop to dashboard in just 40-minutes. “Attendees will ...

EMC's Hadoop commercialization strategy is aimed at streamlining and bulletproofing Hadoop for enterprise users, making Hadoop more of a must-have real-time analytics tool for the enterprise.” Gartner ...

Big data tools: Pentaho Business Analytics Pentaho is another software platform that began as a report generating engine; it is, like JasperSoft, branching into big data by making it easier to ...

Wide Range of Use Cases: Organizations across different industries use Hadoop for diverse purposes, including data warehousing, log and event processing, machine learning, and big data analytics.

What this means is that Hadoop, which has been synonymous with data lakes, is not the ideal platform for a data lake. Silicon Angle, in The sun sets on the big-data era: HPE to acquire MapR’s assets ...

Hadoop became the de facto foundation of today’s big data stack by providing a flexible, scalable, and economical framework for processing massive amounts of structured, unstructured and ...

It’s not as if we didn’t store and analyze huge volumes of data before Hadoop. Rather, Hadoop gave us the ability to do so cheaply. Hadoop, in sum, democratized big data.

While IDC predicts that in 2014 the dominant Big Data technology will continue to be Hadoop and its tributaries. At the same time, document and table-oriented NoSQL DBMSs will begin to gain ...