Python has not lacked for libraries such as Hadoopy or Pydoop to work with Hadoop, but those libraries are designed more with Hadoop users in mind than data scientists proper.

Demand for big data skills are on the rise and aren't limited to just NoSQL and Hadoop but also include Python and general cloud skills.

As the Hadoop growth curves illustrate, the technological foundation for a data-oriented open-source ecosystem has been laid, and a family of related technology is starting to emerge.

Hadoop distributor Cloudera has released a commercial edition of the Apache Spark program, which analyzes data in real time from within Cloudera’s Hadoop environments. The release has the ...

In its new Hadoop distro, Pivotal has added integration with GraphLab, an open source framework for graph analytics used by data scientists and analysts, but the most important additions happened in ...

Open-source big-data platform Hadoop excels at batch-mode processing at scale but it was never designed for real-time analytics. ScaleOut Software has middleware that it thinks addresses the issue.

Hadoop is a must-know for all big data professionals. With courses, classes and bootcamps abound you’ll be a data master in no time.