Extending The Reach of Graphs With Neo4j Connectors for Apache Kafka, Business Intelligence, GraphQL, and Apache Spark

The Neo4j Connectors enable graphs to be integrated into larger systems using Apache Kafka, GraphQL, Apache Spark, and Business Intelligence tooling. In this episode David Allen, Global Lead Cloud Architect at Neo4j joins us to discuss the ways that the Neo4j Connectors can be used for extending the reach of graphs and what this means for developers and data scientists.

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New to networks? Looking into links? Realising the relevance of relationships? Welcome to GraphStuff, your one-stop podcast for all things connected. Join your hosts Jennifer Reif, Andreas Kollegger, Alison Cossette, Jason Koo and guests as they dive into the world of graph databases. They’ll cover everything from how they’re constructed and where they’re used; introductory to advanced topics from modeling data to finished applications, highlighting best practices and showcasing tools and open-source projects. With something new and different each week, don’t forget to subscribe to get a head’s up of what we’ll be covering next.