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derar-alhussein/Databricks-Certified-Data-Engineer-Associate
The resources of the preparation course for Databricks Data Engineer Associate certification exam
Course companion repo for the Databricks Certified Data Engineer Associate exam, sold alongside a Udemy course. Contains numbered notebooks covering Delta Lake, Spark SQL, Auto Loader, Delta Live Tables, and Unity Catalog permissions — plus lab exercises with solutions. This is study material, not a library or tool.
Notebook-per-concept structure maps directly to exam domains, so you always know what you're practicing. Solutions are included alongside labs without being in the same file, so you can actually attempt problems before peeking. Coverage of Auto Loader and multi-hop (medallion) architecture is practical and reflects real Databricks usage patterns. The Delta Lake section goes beyond basics — MERGE, OPTIMIZE, VACUUM, time travel are all present.
This is a course artifact, not a standalone learning resource — without the paid Udemy video it lacks all explanation and context. No README beyond a link to buy the course, so there's zero guidance on how to run these notebooks or what dataset they depend on. The 'Includes/Copy-Datasets.py' bootstrap is opaque without knowing what Databricks workspace it targets. Forks outnumber stars nearly 2:1, which tells you people clone it for the solutions, not because it's a reference worth starring.