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, ...

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 ...

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 ...

Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours ...

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 ...

Aster Da ta, which provides data management and data processing platform for big data analytic applications, today announced the delivery of over 30 ready-to-use advanced analytic packages and more ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...

Platform Computing, the leader in cluster, grid and cloud management software, today announced the company is now bringing enterprise-class distributed computing to business analytics applications ...

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 ...

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 ...