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Databricks Data Ingestion with Skippr ​

YAML for this destination lives on the connector page. There is no separate warehouses: block.

Databricks unifies data engineering and SQL analytics on the lakehouse. Skippr lands raw and staged data into Databricks catalogs and schemas so Spark, SQL warehouses, and ML workflows share one governed copy.

CDC is supported on this destination. See CDC destinations.

What Skippr does here ​

  • Extract from 12+ sources directly into Databricks
  • Deterministic schema discovery and evolution
  • Automatic data cleansing with dead letter handling
  • AI business modeling — dimensions, facts, and metrics delivered as dbt
  • Unity Catalog integration for governed bronze-to-gold models

Sample skippr.yml ​

yaml
data_sinks:
  warehouse:
    Databricks:
      workspace_url: "${DATABRICKS_HOST}"
      token: "${DATABRICKS_TOKEN}"
      warehouse_id: "${DATABRICKS_WAREHOUSE_ID}"
      catalog: main
      schema: default

Full connector reference: databricks.

Install: Install.