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.

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech job site ...

This guest post was written by Kovas Boguta, Head of Analytics at Weebly. In 2009, Kovas wrote a guest post about visualizing real-time social structures. A decade ago, the open-source LAMP (Linux, ...

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.

Databricks believes that big data is a huge opportunity that is still largely untapped and wants to make it easier to deploy and use.

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 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 potential to ...

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.