Over a million developers have joined DZone.

Announcing the Availability of Hortonworks Data Platform 2.5

DZone's Guide to

Announcing the Availability of Hortonworks Data Platform 2.5

A major upgrade to the major open and connected data platform including updates for Hive, Spark, Zeppelin, Ambari, Phoenix, and Hbase.

· Big Data Zone ·
Free Resource

Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.

 We are very pleased to announce that Hortonworks Data Platform (HDP) Version 2.5 is now generally available for download. As part of an Open and Connected Data Platforms offering from Hortonworks, HDP 2.5 brings a variety of enhancements across all elements of the platform spanning data science and data access, to security to governance.

At Hadoop Summit 2016 San Jose on 06/28/2016, we unveiled the latest innovation package within Hortonworks Data Platform 2.5.

This brand new version of HDP has captured a tremendous amount of innovation. Some of the improvements are highlighted below:

To learn more about HDP 2.5, please go here.

We expect rapid adoption of Hortonworks Data Platform 2.5, including one-third of our customers migrating their Hadoop clusters to HDP 2.5 in the first 90 days.  At this time, Hortonworks would like to thank everyone within the Apache community for all of their efforts and contributions. The pace of innovation continues to be truly outstanding and we are grateful for the opportunity to work with such a unique group of dedicated professionals. We look forward to continuing our work with you and the ever vibrant community!

Hortonworks Community Connection (HCC) is an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub.  Join the discussion.

hortonworks ,big data ,hadoop ,spark ,hive ,hbase

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}