Webinar: Importing Relational Data into Neo4j

Ready to leverage the power of a graph database to bring your application to the next level, but all the data is still stuck in a legacy relational database?

Fortunately, Neo4j offers several ways to quickly and efficiently import relational data into a suitable graph model. It's as simple as exporting the subset of the data you want to import and ingest it either with an initial loader in seconds or minutes or apply Cypher's power to put your relational data transactionally in the right places of your graph model.

In this webinar, Michael will also demonstrate a simple tool that can load relational data directly into Neo4j, automatically transforming it into a graph representation of your normalized entity-relationship model.

Michael Hunger, Developer Relations, Neo4j
Michael Hunger has been passionate about software development for a very long time. For the last few years he has been working with Neo4j on the open source graph database. Working in many roles. As caretaker of the Neo4j community and ecosystem he especially loves to work with projects, users and contributors. As a developer Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects and contributing and writing software related books and articles.

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