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.

Python and R data science running on containers and Kubernetes The fourth megatrend is containers and Kubernetes. Hadoop/Spark is not just a storage environment but also a compute environment.

Hadoop may ultimately enable a renaissance in the user experience, but it hasn’t so far. After years of hype, you can’t blame business users who sometimes feel that Hadoop is a white elephant.

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.

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 ...

The Hadoop distribution specialist today announced a new open source project designed to enable real-time analytic applications in Hadoop as well as a new open source security layer for fine ...

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.