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 ...

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 ...

Apache’s Hadoop technologies are becoming critical in helping enterprises manage vast amounts of data, with users ranging from NASA to Twitter to Netflix increasing their reliance on the open source ...

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 ...

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 ...

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 ...

When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...