Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

The emergence of YARN for the Hadoop 2.0 platform has opened the door to new tools and applications that promise to allow more companies to reap the benefits of big data in ways never before possible ...

Hadoop is the most significant concrete technology behind the so called “Big Data” revolution. Hadoop combines an economical model for storing massive quantities of data – the Hadoop Distributed File ...

With the massive amount of data proliferating the Web, companies such as Google and many others are building new technologies to sort it all. Core to that movement is something called MapReduce, a ...

If you’ve collected a large amount of data that you want to analyze, the go-to method for years has been to follow a programming paradigm called MapReduce, typically using Apache’s Hadoop framework.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

With the latest update to its Apache Hadoop distribution, Cloudera has provided the possibility of using data processing algorithms beyond the customary MapReduce, the company announced Tuesday.

Microsoft's getting into the Hadoop game, and people are skeptical. Can Microsoft really embrace open source technology? And if it can, will it end up co-opting it somehow, or will it truly play nice?

The market for software related to the Hadoop and MapReduce programming frameworks for large-scale data analysis will jump from $77 million in 2011 to $812.8 million in 2016, a compound annual growth ...