Hadoop veteran Arun Murthy says Apache Slider will have a major bearing on the future versatility and take-up of the distributed big-data technology.

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 ...

Hadoop was named after a toy elephant, sounds like a Dr. Seuss character, and it's the hottest thing in big-data technology. It's a software framework that makes short work of a tall task ...

The most widely used tool in mass data analysis is currently Hadoop, an open source software framework that supports the running of applications on large clusters of hardware.

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times ...

Adopted by Internet luminaries, big data framework Hadoop has skyrocketed to popularity; a nice kid that nobody wanted to say anything negative about.

“What we do on Hadoop ultimately creates value for our shareholders,” Stata concluded. “If Hadoop becomes the de facto industry standard for big data processing, that’s goodness for us.

Given the rise of big data, I’m sure you’re hearing the buzz around Apache Hadoop, the software framework that supports data-intensive distributed applications under a free license.

Cloudera's chief architect talks about the in-memory and cloud-related tech that will soon allow Hadoop to squeeze more value from big data.

Called, Big Data Analytics for Security, the offering combines MapR’s Hadoop distribution, a collection of machine learning algorithms from MapR, MapReduce-based analytic jobs, and Platfora’s Hadoop ...