The numbers look promising: IDC forecasts the worldwide revenues for big data and business analytics will reach $150.8 billion in 2017, an increase of 12.4% compared with the 2016 sales. However, big ...

At the center of the new big data movement is the Hadoop framework, which provides an efficient file system and related ecosystem of solutions to store and analyze big datasets. The Hadoop ecosystem ...

Big data is a popular topic these days, not only in the tech media, but also among mainstream news outlets. And October's official release of big data software framework Hadoop 2.0 is generating even ...

When it came to storage, the promises of Hadoop sound redolent of those associated with the early days of nuclear power: commodity storage would be too cheap to meter. The original design premise was ...

Big data analytics is one of the major trends every company is told it must jump on for competitive advantage, even survival. As a result, there’s a lot of mythology around big data. Those myths can ...

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 ...

Hadoop is an open source technology that is the data management platform most commonly associated with big data distributions today. Its creators designed the original distributed processing framework ...

Apache’s Hadoop technologies are becoming critical in helping enterprises manage vast amounts of data, with users ranging from NASA to Twitter to Netflix increasing their reliance on the open source ...

While Hadoop remains one of the most popular platforms for big data, there's no single correct way to implement it in a manner best suited to your company's business requirements. We delve into where ...

Managing prodigious volumes of data is not only challenging from a technological standpoint, it's often expensive as well. Apache Hadoop is a data management system adept at bring data processing and ...