Apache Hadoop has evolved rapidly to become the leading platform for managing, processing and analyzing big data. If your organization is examining how you can use Hadoop to store, transform and refine large volumes of data, this webinar series is for you.
Join us in this series with the people at the center of Hadoop movement to gain insight into current advances in Apache Hadoop, obtain use-cases and best practices on how to get started with Hadoop and live Q&A.
Why you should register for this series?
You're interested in learning the essential components required in a Hadoop Platform.
You want use-cases and tips on how you can add Apache hadoop to your existing investments.
You're currently using Hadoop and have questions for our committers.
Register now and join the conversations!
High Availability with Hadoop November 27, 2012 10 am PST/1 pm EST/ 6pm GMT
Featured Speaker: Rohit Bakhshi
Product Management at Hortonworks.
Back in September, we announced Hortonworks Data Platform 1.1, the only Hadoop distribution to provide full stack High Availability. With HDP 1.1, we extended our HA options with the ability to include the most current visions of Red Hat Enterprise Linux (RHEL) and the High Availability Add-On.
Join Rohit Bakshi, Product Management, as he guides you through the current work on HA and Hadoop. Rohit will have a live demo of High Availability options on HDP 1.1 as well as answer any questions during this session.
Agile Data: Building Data Analytics Applications December 19, 2012 10 am PST/1 pm EST/ 6pm GMT
Featured Speaker: Russell Jurney
Hadoop and Big Data Evangelist/Nerd at Hortonworks.
In this webinar, Russell Jurney will present about rapidly prototyping analytics applications using the Hadoop stack to return to agility in light of the ever-deepening analytics stack. The presentation uses Hadoop, Pig, NoSQL stores and lightweight web frameworks to rapidly connect end-users to real insights. Topics covered include writing User Defined Functions in Pig and publishing insights mined on Hadoop to NoSQL stores like MongoDB, HBase, and Cassandra, and using Python, Ruby, JRuby and Node.js to present data mined on Hadoop in a web browser.
Please select the webinars you would like to attend: