Loading Data into Neo4j With Google Cloud Dataflow
Blog post from Neo4j
The Google Cloud Dataflow platform is being used to leverage graph databases, specifically Neo4j. A new flex template has been released that supports complex ETL processes through configuration, not code. This allows for cloud-native data integration without having to manage complex ETL processes. The template supports multiple sources, including BigQuery and text files, as well as targets such as nodes and edges in Neo4j. It also includes features like variable substitution, debugging tools, and support for various data types. The template is designed to be user-friendly and easy to use, with a graphical ETL import tool and a simple configuration process. It is ideal for joint Google Cloud and Neo4j customers who want to integrate their data without having to write complex code.
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