Lakehouse engineering on Databricks
Databricks Certified Data Engineer Associate validates ingestion, ETL, Delta Lake, and governance work on a lakehouse platform, a comparable route for people building analytics foundations outside Microsoft's stack.
Who it suits
Suits data practitioners who build pipelines and lakehouse tables and work, or want to work, in Databricks rather than the Microsoft ecosystem.
Key differences
- It is oriented toward pipeline and ETL tasks on Databricks, whereas the Fabric credential also covers analytics solutions and modeling within Fabric.
- Delta Lake and governance are central, so it suits teams standardizing on Databricks.
- It targets common pipeline duties rather than enterprise-scale solution design.
- Level
- Associate
- Assessment
- Written
- Study time
- 45-80h
- Listed from
- $200