Big Data Meetup on July 19th - Sat (10am-1.15pm)

We will discuss about various SQL on Hadoop and explore why such technologies have become an area of keen interest for many organizations. We will share customer use cases for Data Warehouse Modernization and the role of SQL for Hadoop in this space, as well as discuss performance characteristics of SQL on Hadoop when running common query workloads.

Also hear from the team what are the technical challenges they faced developing their SQL on Hadoop solution, how they addressed those challenges and what are the next set of challenges they see in the evolution of SQL on Hadoop. We will provide an intro to Big SQL (http://www.ibm.com/developerworks/library/bd-bigsql/) and demo. Big SQL delivers some exciting capabilities including comprehensive SQL functionality that leverages advanced SQL compiler/runtime all with low latency and high performance.

Agenda:

1. Overview of BigData

· Big Data Landing Zone Ecosystem & Data Warehouse Modernization

2. Overview of the Big Data platform

· Big SQL 3.0

3. Architecture of Big SQL 3.0

· Overview of architecture

· Enterprise security features

· Other Enterprise features like - Federation, Workload Management, Open integration with Business analytic tools etc

4. Performance of Big SQL 3.0

5. Best Practices on Big SQL 3.0