January 17th, 2021 • 1:01:58 Episode 52: Graph Databases In Action with Dave Bechberger
( 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.
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Graph Databases In Action":
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