Scientists and mathematicians have long loved Python as a vehicle for working with data and automation. Python has not lacked for libraries such as Hadoopy or Pydoop to work with Hadoop, but those ...

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.

This same process is now unfolding in the Big Data space, with an open-source ecosystem centered around Hadoop displacing the expensive, proprietary solutions. Startups are creating more ...

In many ways, Spark has a complementary capability set to Hadoop, which also has several SQL and machine learning extensions. Spark also has an API set that allows it to interface with applications ...

The merger of two major Hadoop players this week -- Cloudera and Hortonworks -- is a clear sign the Hadoop market is on the wane.

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 ...

Pivotal HD 2.0 deploys Hadoop for enterprise-grade data analytics PaaS, more for Pivotal's benefit than Hadoop's Pivotal, an EMC/VMware spin-off that has big plans to deliver big data analytics ...

At the European Hadoop Summit in Brussels last week, SAP underlined its support for the fast-growing number of enterprise Hadoop deployments.

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.

Where is big data heading? In 2013, I spent a lot of time talking about Hadoop's development towards being a central destination for data. Hadoop may enter an organization for a specific use case ...