Neo4j in the Cloud with NoCode Imports
summary
A Neo4j Google Cloud Dataflow template performs declarative imports from BigQuery and Cloud Storage CSVs via a JSON mapping spec so no Cypher knowledge is required, runs as Apache Beam pipelines, batches and sizes transactions to avoid memory spikes, applies sensible indexing defaults and partitions work to reduce relationship deadlocks with retries, targets Aura instances (free tier available), and in the demo imports London tube tables into Neo4j and successfully computes shortest paths after the Dataflow job completes.
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chapters (11)
- 0:00Neo4j in the Cloud intro
- 2:13What is a graph database
- 9:15Neo4j Aura overview
- 10:20No-code import with Dataflow
- 20:55Import specification
- 24:47Demo setup and mapping
- 30:25Running import pipeline
- 31:27Exploring data in Bloom
- 37:06Demo results and queries
- 38:07Future import tool improvements
- 39:30Closing and resources
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