September 9-12, 2013
Santa Clara, CA, USA
Jags Ramnarayan
Jags Ramnarayan
Chief Architect, GemFire Data Grid products
As the Chief Architect for GemFire product line at VMWare/Pivotal, Jags is responsible for the technology direction for its high performance distributed data Grid and virtualization platform. Jags has represented GemStone Systems in the EJB expert group and the J2EE platform specification. In the past, Jags represented BEA in the W3C SOAP protocol specification, JAXM and other standards. Jags has presented in several conferences in the past on Data management, clustering and grid computing. He has over 20 years of experience, a bachelors degree in computer science and a masters degree in management of science and technology.
Presentations
In-memory data and compute on top of Hadoop
Hadoop gives us dramatic volume scalability at a cheap price. But core Hadoop is designed for sequential access - write once and read many times; making it impossible to use hadoop from a real-time/online application. Add a distributed in-memory tier in front and you could get the best of two worlds - very high speed, concurrency and the ability to scale to very large volume. We present the seamless integration of in-memory data grids with hadoop to achieve interesting new design patterns - ingesting raw or processed data into hadoop, random read-writes on operational data in memory or massive historical data in Hadoop with O(1) lookup times, zero ETL Map-reduce processing, enabling deep-scale SQL processing on data in Hadoop or the ability to easily output analytic models from hadoop into memory. We introduce and present the ideas and code samples through Pivotal in-memory real-time and the Hadoop platform.
- NFJS SITES:
- No Fluff Just Stuff
- Uber Conf
- NFJS One
- SpringOne 2GX
- Rich Web Experience
- Continuous Delivery Experience
- Pivotal sites:
- Springsource.org
