Big on Data bro Andrew Brust's recent post on the spring cleaning of Hadoop projects evidently touched a nerve, given the readership numbers that went off the charts. By now, the Apache Hadoop family ...

Back in the 1800s John Godfrey Saxe wrote a famous poem about six blind men trying to discover what an elephant is by touching a part and describing it. Saxe observes that, “each was partly in the ...

This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases. Apache Spark and Apache Hadoop are both popular, open-source data science ...

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 ...

While Hadoop is officially 15 years old as an Apache project, it only gained mainstream IT attention 10 years ago. Hadoop started as an open source implementation of key Google technologies used for ...

One of the challenges of working with Hadoop environments has been maintaining the infrastruc­ture for big data projects. That's where cloud makes things easier and, increas­ingly, has served as the ...

Fifteen years ago, the Hadoop data management platform was created. This kicked off a land rush of companies looking to plant their flags in the market and open-source projects began to spring up to ...

Hadoop introduced a new way to simplify the analysis of large data sets, and in a very short time reshaped the big data market. In fact, today Hadoop is often synonymous with the term big data. Since ...

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 ...

Intel has refreshed its Xeon E7 processors, with version three moving the chip family to the Haswell micro-architecture, and ...

Over the last few years, big data analytics has become all the rage. Even so, many organizations are discovering that their existing mining and analysis techniques simply are not up to the task of ...