Episode 52: Graph Databases In Action with Dave Bechberger

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Episode 52: Graph Databases In Action with Dave Bechberger

James Le

Jan 17, 2021

Show Notes

(2:10) Dave talked briefly about his Electrical Engineering study at Rensselaer Polytechnic Institute back in the late 90s.
(4:03) Dave commented on his career phase working as a software engineer across various companies in Bozeman, Montana.
(7:38) Dave discussed his work as a senior architect and tech lead at Expero, a Houston-based startup that develops custom software exclusively for domain-expert users.
(11:26) Dave briefly defined common big data frameworks (Hadoop, Apache Spark) and databases (Apache Cassandra, Apache Kafka).
(13:37) Dave went over the challenges during his time as a chief software architect at Gene by Gene, a biotech company focusing on DNA-based ancestry and genealogy.
(20:00) Dave shared the common patterns and anti-patterns of using graph databases (in reference to his talk “A Practical Guide to Graph Databases”).
(26:16) Dave walked through the three categories of graph technologies: Graph Computing Engine, RDF TripleStore, and Labeled Property Graph (in reference to his talk “A Skeptics Guide to Graph Databases”).
(33:03) Dave discussed his move to DataStax’s Global Graph Practice team as a solutions architect and graph database subject matter expert.
(36:00) Dave explained the design of DataStax’s enterprise solution called Customer 360, which collapses data silos to drive business value.
(41:16) Dave talked about his current experience as a Senior Graph Architect at AWS.
(43:51) Dave mentioned the challenges while writing "Graph Databases In Action" (published last October).
(47:25) Dave explained the open-source Apache TinkerPop framework and the Gremlin language used in the book for the uninitiated.
(51:04) Dave discussed trends in big data and distributed systems that he is most excited about.
(55:06) Closing segment.