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.

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.

Code submitted this week for inclusion in the Hadoop stack will help speed the spread of the distributed big-data platform, according to Hortonworks co-founder Arun Murthy. The submission of 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 ...

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 ...

Hadoop was first conceived as a web search engine for Yahoo!, whose developers were inspired by Google’s now-well known MapReduce paper. It has become the cornerstone of a thriving big data ...

Drowning in the volume, variety and velocity of Big Data, an increasing number of businesses and their IT managers are turning toward Hadoop and the rapidly expanding list of Hadoop-related ...

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 ...