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The Edge of Exploration & Graph Databases for Data Scientists

Register here: https://www.meetup.com/Houston-Energy-Data-Science-Meetup/events/259782762/

Intro to Graph Databases for Data Scientists

With the rise of graph databases, graphs are no longer just a data structure but a powerful set of capabilities at the persistence layer which data scientists can leverage to accelerate the speed to insight. Unlike the relational world, we can now create graph models that work on 10k records or 10’s of millions of records and do so in real time.

In this talk, we will walk someone familiar with building for relational databases through the process of how to start leveraging the power of graph databases. We will talk about what makes a good and bad use case, how to build effective models, and how to prevent your developers and data engineers from pulling their hair out when it goes to production.

Bio: Dave Bechberger is a Solution Architect in the Graph Practice at DataStax where he helps customers build large distributed graph backed applications. Prior to that, he was the Chief Architect at Gene by Gene, a genetic genealogy and bioinformatics company, where he worked to migrate their legacy technology stack to modern technologies including heavy use of graph databases and Cassandra. Dave has spent his career engaging in full-stack software development but specializes in building data architectures in complex data domains such as bioinformatics, oil, and gas, supply chain management, etc. He uses his knowledge of graph and other big data technologies to build out highly performant and scalable systems. Dave has previously spoken at a variety of national and international technical conferences including NDC Oslo, NDC London, as well as previous GraphDay conferences in Texas, San Francisco, and Seattle. Dave is the author of the upcoming book from Manning publications: Graph Databases in Action.