Are Scalable Graph Data Applications Possible? March 5, 2008

With the rising importance of data analytics, there is more evidence than ever that graph style data systems can achieve new benefits by making it easier to link and re-combine complex data. But the Achilles heel of graph style tuple storage has always been a lack of performance at scale. Will the Semantic Web and modern analytics finally drive innovation that makes these systems scalable? In this SDForum interactive panel discussion we will explore that question and more.

Join us for three unique presentations that will explore cutting-edge techniques for scalable RDF/OWL storage, and the kinds of applications that make use of those systems. First, we are honored to have representation from Vertica and the Massachusetts Institute of Technology to describe how columnar store (C-Store) data warehouse technology can enable large scale data graphs supporting billions of RDF triples. Next, we’ll get a peek at some GeoTemporal and Social Network Analysis applications based off the federated Java RDF database from Franz Technologies. Finally, a short synopsis of Oracle’s various approaches for tuple-based storage (including in-memory, data grid, and Oracle Database RDF solutions) will be presented and tradeoffs discussed.

Our expert guests include Andy Palmer from Vertica, Samuel R. Madden from MIT, Jans Aasman from Franz Technologies. Jeff Pollock from Oracle will moderate as well as present a short summary of technical approaches to scalable RDF systems.

Agenda:

6:30pm - 7:00pm Registration / Networking / Refreshments / Pizza

7:00pm – 7:10pm Community announcement

7:10pm - 7:50pm The Vertica C-Store DBMS for Scalable RDF Persistence

7:50pm - 8:30pm Franz Technologies RDF Applications

8:30pm - 8:45pm Oracle Infrastructure for Tuple-based Graph Storage

8:45pm - 9:00pm(+) Dedicated Q&A period

Panelist Bios:

Andy Palmer, Founder, Vertica

With a track record of five successful startups in the past 12 years, Andy Palmer specializes in founding and accelerating the growth of early-stage companies. In early 2005, Palmer partnered with Dr. Stonebraker to found Vertica®. Prior to co-founding Vertica, Palmer served as the senior vice president of operations at Infinity Pharmaceuticals (NASDAQ : INFI) , where he was a member of the initial startup team.

Samuel R. Madden, Associate Professor, EECS at Massachusetts Institute of Technology

Samuel Madden is an assistant professor in the EECS department at MIT and a member of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His research interests span all areas of database systems; past projects include the TinyDB system for data collection from sensor networks and the Telegraph adaptive query processing engine. His current research focuses on modeling and statistical techniques for value prediction and outlier detection in sensor networks, high performance database systems, and networking and data processing in disconnected environments.

Jans Aasman, CEO, Franz Inc.

Jans Aasman started his career as an experimental and cognitive psychologist, earning his Ph.D in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004 he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans is currently the CEO of Franz Inc., the leading supplier of commercial, persistent and scalable RDF database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Semantic Web applications.

$15 at the door for non-SDForum members
No charge for SDForum members
No registration required

Official Website: http://sdforum.org/index.cfm?fuseaction=Page.viewPage&pageId=656&parentID=483&nodeID=1