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In this webinar we’ll go from zero to graph. First from the user perspective we’ll introduce graphs and graph modelling, showing how even vastly complicated data sets can be modelled, stored, and queried with ease in Neo4j. Meanwhile we’ll also catch glimpses of Neo4j’s architecture and see how we can design models and write queries that are mechanically sympathetic to that design and really fly.

We’ll also talk about the easiest ways of getting going yourself. Rounding off the session we’ll cover a selection of use-cases from large-scale neo4j users and then open it up for some friendly Q&A.



    About the Speaker

    Jim Webber, Chief Scientist, Neo4j

    Jim is Chief Scientist at Neo Technology working on next-generation solutions for massively scaling graph data. Prior to joining Neo Technology, Jim was a Professional Services Director with ThoughtWorks where he worked on large-scale computing systems in finance and telecoms. Jim has a Ph.D. in Computing Science from the Newcastle University, UK.


    Webinar: Graph your universe

    Neo4j is proud to support the Big Things are Happening Here Meetup

    Wednesday, 17th August at 7:00pm IDT


    In this webinar we’ll go from zero to graph. First from the user perspective we’ll introduce graphs and graph modelling, showing how even vastly complicated data sets can be modelled, stored, and queried with ease in Neo4j. Meanwhile we’ll also catch glimpses of Neo4j’s architecture and see how we can design models and write queries that are mechanically sympathetic to that design and really fly.

    We’ll also talk about the easiest ways of getting going yourself. Rounding off the session we’ll cover a selection of use-cases from large-scale neo4j users and then open it up for some friendly Q&A.



    About the Speaker

    Jim Webber, Chief Scientist, Neo4j

    Jim is Chief Scientist at Neo Technology working on next-generation solutions for massively scaling graph data. Prior to joining Neo Technology, Jim was a Professional Services Director with ThoughtWorks where he worked on large-scale computing systems in finance and telecoms. Jim has a Ph.D. in Computing Science from the Newcastle University, UK.


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