Skip to Content

Data Federation and Virtualization for Big Data

In this session, Derrick Kittler, JBoss Solutions Architect, will discuss the problem space around data federation across disparate and hetergenous data endpoints and how to effectively virtualize this data into a canonical model that can be consumed by the application layer. Derrick will discuss the Teiid project as a technology to attach-to, federate across and virtualize relational, semi-structured and unstructured data. Further, the 'big-data' problem will be discussed as part of an overall enterprise data virtualization solution, and as such, technologies such as Hadoop, map-reduce, Hive, Pig, Cassandra and elastic data grids will be touched-on when illustrating a reference architecture. Finally, there will be a demo of Teiid to illustrate the tooling and technology behind data federation and virtualization.

5:30 - 6:00 - Food/Network
6:00 - Intro/Sponsor
6:00 - 7:30 – Presentation/Q&A
7:30 - Close

About the Presenter:
Derrick Kittler has over 14 year of experience in designing and developing JEE and lightweight applications leveraging open source technologies. His industry experience spans automated marketing analytics, ecommerce, defence and IT operations. Derrick is passionate about open source and is employed as a Solutions Architect at JBoss, a division of Red Hat and is based out of Boston, MA. In his free time, Derrick enjoys time spent with family catching-up on reading, tinkering, and competing in cycling races.

CDJDN - 2012-2-16.pdf64.27 KB
Event Details
Date & Time: 
Thu, 02/16/2012 - 5:30pm
ITT Tech
13 Airline Drive
Albany, NY 12205


Dan, thanks again for

Dan, thanks again for allowing me to come and speak to the group a few weeks back. As promised, here [1] is the link to the presentations and projects on git. The project files are and and the required DB schema is edsp-demo-postgres.sql. Finally the presentaion is also included; CDJDN_Teiid.pdf.

Please let me know should you have any questions or if the artefacts are not resolving.

Thanks again!