Analytics that traverse large portions of large graphs have been problematic for SPARQL and Cypher graph databases. In this meetup, we’ll discuss the new methods of native parallel-computing to yield scalable performance for Resource Description Framework (RDF) and Labelled Property Graphs (LPG) using these languages. These new methods focus on using an OLAP engine as the basis for graph analytics rather than the more common OLTP engines that are the basis for Neo4J, AWS Neptune and many other graph databases.
This meetup is targeted to engineers and data scientists already familiar with at least one graph database system, and some familiarity with RDF, SPARQL, Cypher and other query languages.
Location: 1 Beacon St. Boston, MA 15th Floor (WeWork)
Convenient to Red (Park St), Blue (State), Orange (State), and Green (Park or Government Center) lines. Take the T.
Sean Martin is the CTO for Cambridge Semantics. His career has taken him on the leading edge of Internet technology innovation since the early nineties. Prior to founding Cambridge Semantics he spent fifteen years with IBM Corporation where he was a founder and the technology visionary for the IBM Advanced Internet Technology group.
Babu Tammisetti is VP of Technology at Cambridge Semantics. In this role, he is actively involved in design & development, along with setting overall direction for the database engine for graph analytics of the company product. Babu co-founded SPARQL City where he served as VP of Technology. He was the Director of Software Engineering at Netezza which, after a successful IPO, was acquired by IBM.
Steve Sarsfield is the VP of product for AnzoGraph, the core graph OLAP database from Cambridge Semantics. His experience in the industry includes former positions at IBM, Talend and Vertica. Steve is also the author of the book "The Data Governance Imperative", which discusses the topic of how business and IT can better work together to address business challenges.
6:30 Networking with pizza and beer
7:00 Examining uses and benchmarking OLAP vs OLTP in graph databases
7:15 Analysis you might run on an OLAP RDF with LPG
7:45 Demo time
8:00 Networking continues