With the rise of Apache Hadoop, a next-generation enterprise data architecture is emerging. It's connecting the systems powering business-transactions and business intelligence making it uniquely capable of storing, aggregating, and refining multi-structured data sources into formats that fuel new business insights. Apache Hadoop is fast becoming the de-facto platform for processing Big Data.
Join this webinar series to explore:
Best Practices and Tools necessary to help you embrace Apache Hadoop
Apache Hadoop and OpenStack
Future roadmaps of Apache Hadoop
Register now by selecting the webinars you would like to attend!
Best Practices for Virtualizing Hadoop May 1, 2013 10 am PST/1 pm EST/ 6pm GMT
Featured Speaker: George Trujillo Master Principal Big Data Specialist, Hortonworks
Join this webinar to discuss best practices for designing and building a solid, robust and flexible Hadoop platform on an enterprise virtual infrastructure. Attendees will learn the flexibility and operational advantages of Virtual Machines such as fast provisioning, cloning, high levels of standardization, hybrid storage, vMotioning, increased stabilization of the entire software stack, High Availability and Fault Tolerance. This is a can`t miss presentation for anyone wanting to understand design, configuration and deployment of Hadoop in virtual infrastructures.
Apache Hadoop, the Perfect App for OpenStack May 22, 2013 10 am PST/1 pm EST/ 6pm GMT
Featured Speaker: Himanshui Bari Sr. Product Manager, Hortonworks
How can Hadoop take advantage of OpenStack and how can the OpenStack meet the needs of a demanding Hadoop cluster? In this session, we will briefly look at the Hadoop’s design decisions; come up with the best practices for deploying and running Hadoop on OpenStack and some of the challenges around it. We’ll also look at the ongoing work in the Hadoop and OpenStack community, and explore how we can make OpenStack a better platform for Hadoop and big data.
Innovations in Apache Hadoop MapReduce, Pig and Hive for Improving Query Performance June 5, 2013 10 am PST/1 pm EST/ 6pm GMT
Featured Speaker: Vinod Vinod Kumar Vavilapalli Member of Technical Staff, Hortonworks
Apache Hadoop and its ecosystem projects Hive and Pig support interactions with data sets of enormous sizes. Petabyte scale data warehouse infrastructures are built on top of Hadoop for providing access to data of massive and small sizes. Hadoop always excelled at large-scale data processing; however, running smaller queries has been problematic due to the batch-oriented nature of the system. With the advent of Hadoop YARN which is a far more general purpose system, we have made tremendous improvements to Hadoop MapReduce. Taken together, the enhancements we have made to the resource management system (YARN), to MapReduce framework and to Hive and Pig themselves, we are elevating the Hadoop ecosystem to be much more powerful, performant and user-friendly. This talk will cover the improvements we have made to YARN, MapReduce, Pig and Hive. We will also walk through the future enhancements we have planned.