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Batch Data to Graphs: Integrating Neo4j and Flink via JDBC

Session Track: App Dev

Session Time:

Session description

In this short talk, we’ll take a brief but practical look at integrating Neo4j with Apache Flink using the Neo4j JDBC driver. Through an example of importing a bounded dataset into a Neo4j instance, you will see how the JDBC driver offers a straightforward and effective way to connect graph databases to your data processing workflows. This session highlights how the integration works in practice and demonstrates how easily you can connect Flink with a graph database.

Speaker

photo of Eugene Rubanov

Eugene Rubanov

Lead Software Engineer, Neo4j

Eugene is a software engineer on the Connectors team and is passionate about data, cloud computing, and Java.