Hadoop and MapReduce have long been mainstays of the big data movement, but some companies now need new and faster ways to extract business value from massive — and constantly growing — datasets.

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech job site ...

In a new survey conducted by Syncsort, 250 prominent respondents including data architects, IT managers, developers, business intelligence/data analysts, and data scientists weigh in on big data ...

Big Data is confusing — and not just for business leaders. CIOs find it befuddling, too. Scott Schlesinger, vice president and head of North American Business Information Management at Capgemini, ...

Wikibon Principal Research Contributor Jeff Kelly provides an inclusive basic tutorial of the big data environment, including technologies, skill sets, and use cases, in “Big Data: Hadoop, Business ...

On Thursday, Teradata announced a new analytical database platform that combines more traditional SQL database capabilities with the “big data” power of MapReduce, the analytical framework at the ...

The new Hadoop is nothing less than the Apache Foundation’s attempt to create a whole new general framework for the way big data can be stored, mined, and processed. It ought to not only further ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

Hadoop was named after a toy elephant, sounds like a Dr. Seuss character, and it's the hottest thing in big-data technology. It's a software framework that makes short work of a tall task—managing ...

Apache Hadoop has been the driving force behind the growth of the big data industry. You'll hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do, and ...