Data Engineering beginner ⏱ 8–10 hours
Getting Started with Databricks
A structured introduction to the Databricks platform — notebooks, clusters, Delta Lake, and Unity Catalog, built with the community.
DatabricksDelta LakePySparkUnity Catalog
View project on GitHub
What you’ll build
A Databricks workspace exploration covering all the key platform capabilities: running notebooks, managing clusters, working with Delta Lake tables, Unity Catalog governance, and building a simple pipeline from raw files to a clean table.
Skills you’ll practice
- Databricks workspace navigation: repos, jobs, clusters
- Delta Lake fundamentals: ACID transactions, versioning, OPTIMIZE
- Unity Catalog: schemas, volumes, and access control
- Databricks Workflows: multi-task job orchestration