VMware updates vSphere to support Hadoop workloads

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VMware is giving its vSphere datacenter and virtualization platform a boost to add support for Apache Hadoop workloads.

The point is to enable enterprises to be able to deploy, run, and manage Hadoop clusters alongside other key applications on a common virtual infrastructure for turning around big data into real answers for business decisions.

This bridge will be set up through VMware's new vSphere Big Data Extensions rolling out today. VMware has also certified EMC's Pivotal HD 1.0 Hadoop distribution to run on vSphere.

VMware has long been a proponent of implementing Hadoop for enterprise data and software purposes.

Last year, VMware launched its Project Serengeti, aimed at enabling enterprises to quickly deploy, manage and scale Hadoop in virtual and cloud environments.

The new extensions being introduced this week actually build off of Serengeti with support for Apache Hadoop YARN and the next generation of MapReduce.

Around the same time, the virtualization giant confronted naysayers of enterprise adoption for Hadoop on vSphere with company execs arguing that the framework would help "make sense of vast quantities of data."

VMware's parent company, EMC, is another notable fan of the open source technology for deciphering the big data puzzle.

For example, in April , EMC unveiled its Pivotal Initiative spin-off with the debut of Pivotal One, a Platform-as-a-Service entry designed to bring consumer-familiar cloud features to the enterprise.

Hadoop is a key component to Pivotal's in-memory data grid technology for analytical queries.

General Electric also recently tapped EMC's Pivotal initiative for delivering its new Industrial Internet cloud and data architecture through Pivotal's Hadoop, Cloud Foundry, and in-memory technologies.

The vSphere Big Data extensions for use with vSphere 5.1 are available in public beta mode starting today. General availability is expected to follow by the end of 2013.