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.

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 ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

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 ...

Big Data doesn't always involve Hadoop and MapReduce. This is a point I have made before, and I probably won't shut up about it anytime soon. Hadoop is good for a lot, but it has a batch-oriented ...

Sybase is hoping its IQ analytic database can make its mark in the burgeoning “Big Data” market with an array of new features, including native integration with the open-source MapReduce and Hadoop ...