Large Scale Graph Analytics with RDF and LPG Parallel Processing

Large Scale Graph Analytics with RDF and LPG Parallel Processing

Originally recorded Oct. 25, 2018

Barry Zane, VP of Engineering

View this on-demand webinar by Barry Zane, former co-founder of Netezza, Paraccel and SPARQL City and current VP of Engineering at Cambridge Semantics, entitled “Large Scale Graph Analytics with RDF and LPG Parallel Processing”, originally recorded on October 25th, 2018 at 2:00 pm Eastern Daylight Time, 11:00 am Pacific Daylight Time.

Analytics that traverse large portions of large graphs have been problematic for both RDF and LPG graph engines. In this webinar Barry discusses the native parallel-computing approach taken in AnzoGraph to yield interactive, scalable performance for RDF and LPG graphs. He will also include a sample benchmark that highlights the performance possible with well-understood industry-standard data.

This webinar is targeted to engineers and data scientists already familiar with at least one graph database system, and some familiarity with RDF, SPARQL and other query languages.