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Episode 52: Graph Databases In Action with Dave Bechberger
Show Notes
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe
- (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.
- Website
- GitHub
- "Graph Databases In Action" (Associated Code Repository)
- Martin Fowler (Founder of ThoughtWorks)
- Martin Kleppmann (Author of "Designing Data-Intensive Applications")
- Andrew Ng (Professor at Stanford, Co-Founder of Google Brain and Coursera, Ex-Chief Scientist at Baidu)
- "Pragmatic Programmer" (by Andy Hunt and Dave Thomas)
- "The Five Dysfunctions Of A Team" (by Patrick Lencioni)
- "How To Observe Scientific Advice for Common Real-World Problems" (by Randall Munroe)
This is the 40% discount code that is good for all Manning's products in all formats: poddcast19.
These are 5 free eBook codes, each good for one copy of "Graph Databases In Action":
- gdadcr-E55F
- gdadcr-B896
- gdadcr-8C53
- gdadcr-AAE1
- gdadcr-39F0
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe
View all episodes
By James LeShow Notes
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe
- (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.
- Website
- GitHub
- "Graph Databases In Action" (Associated Code Repository)
- Martin Fowler (Founder of ThoughtWorks)
- Martin Kleppmann (Author of "Designing Data-Intensive Applications")
- Andrew Ng (Professor at Stanford, Co-Founder of Google Brain and Coursera, Ex-Chief Scientist at Baidu)
- "Pragmatic Programmer" (by Andy Hunt and Dave Thomas)
- "The Five Dysfunctions Of A Team" (by Patrick Lencioni)
- "How To Observe Scientific Advice for Common Real-World Problems" (by Randall Munroe)
This is the 40% discount code that is good for all Manning's products in all formats: poddcast19.
These are 5 free eBook codes, each good for one copy of "Graph Databases In Action":
- gdadcr-E55F
- gdadcr-B896
- gdadcr-8C53
- gdadcr-AAE1
- gdadcr-39F0
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe