This course provides an introduction to data engineering with Databricks, covering key tools and frameworks such as Delta Lake, Databricks Workflows, Delta Live Tables, and Unity Catalog. Participants will learn how to ingest, transform, and [...]
  • DBDE-QA
  • Price on request

This course provides an introduction to data engineering with Databricks, covering key tools and frameworks such as Delta Lake, Databricks Workflows, Delta Live Tables, and Unity Catalog. Participants will learn how to ingest, transform, and manage data using Delta Lake, deploy workloads with Databricks Workflows, build efficient pipelines with Delta Live Tables, and apply data governance principles using Unity Catalog. The course includes hands-on labs and real-world applications to ensure learners develop practical skills for working with Databricks effectively. This course prepares learners for the Associate Data Engineering certification exam and provides the foundational knowledge required to advance to the Advanced Data Engineering with Databricks course.

  • Ingest, transform, and manage data using Delta Lake.
  • Deploy and monitor data workloads with Databricks Workflows.
  • Build scalable data pipelines using Delta Live Tables and the Medallion Architecture.
  • Apply data governance principles and manage permissions using Unity Catalog.
  • Troubleshoot, optimise, and monitor data workflows in Databricks.

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