Episode 9
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.
GraphStuff.FM: The Neo4j Graph Database Developer Podcast
June 30, 202149m 57s
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Show Notes
- Neo4j Connectors page: neo4j.com/product/connectors
- Neo4j Connector for Apacha Kafka: neo4j.com/labs/kafka/
- Neo4j Connector for Business Intelligence: neo4j.com/bi-connector/
- Neo4j Connector for Apache Spark: neo4j.com/product/connectors/apache-spark-connector
- The Neo4j GraphQL library: neo4j.com/product/graphql-library/
- Using Retool with Neo4j GraphQL: neo4j.com/developer-blog/create-your-own-dashboard-using-retool-with-neo4j/
- Follow David Allen on Twitter: twitter.com/mdavidallen