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.

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.

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.

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.

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 ...