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, ...

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.

Reporting and analysis tools help businesses make better quality decisions faster. The source of information that enables these decisions is data. There are broadly two types of data: structured and ...

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 ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...

I gave an introductory talk on Hadoop yesterday at the Visual Studio Live! conference in Las Vegas. During the talk, I discussed how Hadoop Streaming, a utility which allows arbitrary executables to ...

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 ...

On the eve of another Strata week, EMC Greenplum announced Pivotal HD, a Hadoop distribution that is tightly integrated with an MPP database engine called HAWQ. What all this alphabet soup means is ...

Abstract: Along with the beginning of the big data era, it becomes difficult to capture, store, search, share, transfer, analyze, and visualize bigger data using the traditional data processing ...