The creator of the Hadoop platform, Doug Cutting, is surprised Hadoop didn't have to battle it out with more competitors in its early years but thinks it's now too late for a competitor to take on ...

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.

Hadoop’s MapReduce provided folks with a big step in capability. It’s hard to overstate exactly how critical this commodification of big data has been for the world.

Hadoop makes all the big data noise. Too bad it’s not also getting the big data deployments. Indeed, though Hadoop has often served as shorthand for big data, this increasingly seems like a mistake.

A technology like Hadoop alone doesn’t deliver the business benefits promised by big data. For big data to become more than just promise we’ll need advances in the skill sets of IT professionals, ...

The big trend for 2016 is the move away from Hadoop experimentation into full production with big data analytics. 2016's big three trends are: Apache Spark production deployments ...

Big Data, Big News. This week's O'Reilly Strata and Hadoop World conference in New York has attracted a wide range of IT vendors, from industry leaders like IBM and Hewlett-Packard to companies ...

Mortar Data, founded in 2010, creates a private, on-demand Hadoop cluster for clients' big data projects and creates "optimized jobs for execution" using Pig and Python. Amazon's S3 cloud storage ...

Microsoft (NASDAQ:MSFT) is bringing Hadoop to the Windows Azure cloud. The popular big-data analytics framework is now available on Microsoft's cloud infrastructure. On the one hand, it's great to ...

Here at the annual Apache Big Data show in Miami, Florida, a pair of Hadoop project committers from Cloudera shared details on how the changes will impact YARN and HDFS. The biggest change coming to ...

Future uses and the adoption of Apache Hadoop, the Java-based programming framework popular for managing large data sets were the focus of several keynotes kicking off the Hadoop Summit June 9.