Operational data enrichment
Assemble business-shaped rows from service-owned operational data before writing to analytics or application targets.
Use cases
Operational data pipelines where raw replication is not enough.
JoinLayer is for workflows where the target row needs mapping, lookup enrichment, preview, validation, and clear run diagnostics before data lands.
PostgreSQL to BigQuery
Map PostgreSQL rows, add lookup context, preview the BigQuery output, and validate the target contract before launch.
MySQL to BigQuery
Shape MySQL and MariaDB operational rows for BigQuery with field mapping, lookup enrichment, validation, and run visibility.
Kafka JSON and Avro streams use the same JoinLayer model: connectors expand reach, while mapping, enrichment, validation, durable offsets, and diagnostics remain the workflow contract.