Achieving a 200% Increase in Time Onsite with the Blazegraph High Availability Graph Database
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  Bryan Thompson   Bryan Thompson
Chief Scientist


Wednesday, August 19, 2015
04:00 PM - 04:30 PM

Level:  Product/Service Offering

Yahoo7! achieved a 200% increase in time spent on site using a knowledge-driven publishing approach and a High Availability (HA) graph database platform. According to Yahoo7! CTO, Craig Penfold, picking the Blazegraph graph database platform was a key technology choice. He says, “By changing the underlying datastore we are able to pull in all the content around a character dynamically and at scale.” A team at Yahoo7! builds the knowledge graph fusing content and context using Semantic Web technologies.

All of this context is is captured in a knowledge graph and stored in the Blazegraph platform, which provides graph database management and graph query capabilities for the portal. Using the Blazegraph HA features provides Yahoo7! a scalable path to deploy these capabilities and realize new levels of user engagement on its content portals. This session will present how Yahoo!7 leveraged the Blazegraph HA graph database and discuss the technology that enabled these results.

Mr. Bryan Thompson is Chief Scientist at SYSTAP. He has 30+ years experience as a technologist, inventor and researcher in cloud computing and big data. He is the lead architect for Blazegraph, an open source distributed graph database used by Fortune 500 companies, including EMC, Autodesk, and Yahoo!. He leads SYSTAP's research team investigating GPU-accelerated distributed architectures for graph processing, which, together with the SCI Institute, in 2014 first published results for executing Breadth-First Search on a cluster of 64 GPUs at up to 30 billion traversed edges per second. He has over 30 years experience related to cloud computing; graph databases; the semantic web; web architecture; relational, object, and RDF database architectures; knowledge management and collaboration; artificial intelligence and connectionist models; natural language processing; metrics, scalability studies, benchmarks and performance tuning; decision support systems.

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