Breaking: Hadoop Community Votes To Upgrade Hadoop Core with YARN
The Hadoop community voted last night to upgrade the core Hadoop softwareby upgrading YARN to a full blown Apache sub-project for Hadoop along with HDFS and MapReduce.
Hadoop YARN is basically MapReduce upgrade in an attempt to take Apache Hadoop beyond MapReduce for data-processing.
According to Hortonworks cofounder Arun Murthy blog post, Apache Hadoop YARN joins Hadoop Common (core libraries), Hadoop HDFS (storage) and Hadoop MapReduce (the MapReduce implementation) as the sub-projects of the Apache Hadoop which, itself, is a Top Level Project in the Apache Software Foundation. Until this milestone, YARN was a part of the Hadoop MapReduce project and now is poised to stand up on it’s own as a sub-project of Hadoop.
What Does This Mean for the Hadoop Community:
Hadoop has established itself as the big data platform of choice. Many big organizations are moving to Hadoop and those who don’t have a big data strategy will be left behind.
• Open Source Innovation v Stability: As an open source technology matures and becomes mainstream, it becomes increasingly important to balance community innovation and enterprise stability.
• Apache Hadoop Platform Completeness: Apache Hadoop with core set of related projects presents a wide array of functions to enable the ecosystem, ease operations and empower the developer with enterprise ready tools
• Apache Hadoop Maturity: Apache Hadoop has come a long way. Trusted and test versions of Hadoop is very important. Additionally, upgrades like YARN to the core is a great example of balancing the innovation and stability
• Community Stewardship: the Apache Hadoop community continues to push the platform forward. Hortonworks and Cloudera are working closely with the community and are stewards of the core so that it remains a viable solution for the enterprise.
To read the entire article, please click on this link http://devopsangle.com/2012/08/03/breaking-hadoop-community-votes-to-upgrade-hadoop-core-with-yarn/






