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 ...

For example, the phrase “big data” has been so widely and poorly applied that the term has become almost meaningless. Nevertheless, beneath the hype of big data there is a real revolution in progress, ...

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 veteran Arun Murthy says Apache Slider will have a major bearing on the future versatility and take-up of the distributed big-data technology. Written by Toby Wolpe, Contributor April 4 ...

Fortunately, there are alternatives to Hadoop when it comes to big data projects. While not applicable to all situations, I've found that a Hadoop alternative can save time, money and slash risk.

NEWS ANALYSIS: Apache Hadoop is opening up lots of possibilities for analyzing big data, but there is also complexity in the applications and techniques for managing that data effectively.

Because big data is much more than Hadoop and its ecosystem. For example, though the media has equated big data with Hadoop for years, data scientists have not.

Just recently, Svetlana Sicular, a research director at Gartner declared that Big Data had entered its “Trough of Disillusionment”. What was supposed to ensue was all types of negative ...

Hadoop is everywhere, but a strong competitor is making headway in the market. It's all thanks to years of production use and a solid big data pedigree that powers the billion-dollar LexisNexis ...

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.