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Sunday, 5 July 2015

Announcing Hortonworks Gallery

Drink from Elephant’s Well Of Knowledge

Developer success starts with open and reusable code, and a community that allows for both consumption of code and contribution of updates to the code base. This success engenders a thriving and evolving community.

To that end, today we are announcing the Hortonworks Gallery for developers. Located on GitHub, the Gallery brings together the Hortonworks’ Apache Hadoop code, Apache Ambari Views and extensions, as well as related resources into a single view for developers to use within the familiar context of Git and open source software.
The Hortonworks Gallery brings together all of the code, tutorials and sample apps that help new and experienced Hadoop developers reduce the time to success, whether it’s learning about Hadoop, Spark, Storm or other HDP components, or delivering apps for Internet of Things, predictive analytics or data warehousing solutions. Additionally, over the coming weeks we will be moving the source files for our Hortonworks Tutorials into GitHub for individuals and organizations to use, modify, and enhance under a Creative Commons license.
Hortonworks has been investing the resources of our team into creating a complete set of learning resources for getting started on HDP. By releasing these under the CC license on the Hortonworks Gallery, our goal is for the community and academia to build an even better and broader set of learning around Hadoop. And in the spirit of open collaboration, we encourage pull requests!

Introduction to HDFS Erasure Coding in Apache Hadoop

Thanks to blog contributors from Cloudera Erasure coding, a new feature in HDFS, can reduce storage overhead by approximately 50% compar...