Databricks mirroring for Qlik Open Lakehouse

Qlik Open Lakehouse projects now support mirroring data to Databricks, expanding the data mirror feature to enable multi-platform analytics from a single project. In addition to existing targets such as Snowflake and Redshift, Databricks is now available as a mirror target, allowing one dataset to be queried from one or more cloud data warehouses.

With mirror tasks, Qlik enables multi-platform data pipelines without data duplication. You can query data stored in Iceberg tables in your lakehouse directly from Databricks, eliminating the need for additional storage while maintaining consistent, up-to-date data access.

This enhancement also supports a Medallion architecture approach:

• Ingest raw data into an Iceberg-based Bronze layer in your lakehouse

• Mirror the data to Databricks, enabling downstream transformations

• Perform Silver and Gold layer transformations by creating a Databricks project with a transform task, using the Databricks mirror as the source

Mirroring data to a cloud data warehouse