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, ...

Adopted by Internet luminaries, big data framework Hadoop has skyrocketed to popularity; a nice kid that nobody wanted to say anything negative about. However, now that technology is not quite as new ...

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SpringSource on Tuesday announced the general availability release of Spring for Apache Hadoop, which integrates the Hadoop framework for data-intensive distributed computing with the Spring Java/J2EE ...

Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The panelists discuss the dramatic escalation ...

The Apache Software Foundation's promotion of Tez to a top-level project not only endorses the technology but also the strength of the community behind it, according to Hortonworks, the Hadoop ...

The Apache Software Foundation unveiled its latest release of its open source data processing program, Hadoop 2. It runs multiple applications simultaneously to enable users to quickly and efficiently ...

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...

The market for Hadoop and related products is one of the most active in all of enterprise software. I’ve developed a simple framework that can help quickly explain the differences in the way Hadoop ...