Azure Databricks Free notes Azure Databricks end to end project with Unity Catalog Azure Databricks Mastery: Hands-on project with Unity Catalog, Delta lake, Medallion Architecture

Enterprise-grade Master Data Management solution built on Databricks platform with Unity Catalog integration.

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A complete, self-built Databricks workspace for mastering data engineering fundamentals on Azure — including batch/streaming ETL, Delta Lake, Unity Catalog, DLT pipelines, and Databricks SQL dashboards.

Official repository for the Databricks PySpark Crash Course. Contains the dummy datasets (CSV & JSON) and PySpark notebooks used to master modern Data Engineering, Unity Catalog, and Delta Lake.

This repository is part of a structured learning journey focused on mastering Unity Catalog, the unified governance layer for all data and AI assets in **Azure Databricks**. Through a series of practical modules, it demonstrates how to set up, configure, and leverage Unity Catalog for secure, scalable, and collaborative data engineering.

14-Day Databricks Challenge (by Indian Data Club) is a fast-track roadmap to master data engineering. Beginner: Setup, Spark basics, and DataFrame APIs. Intermediate: Joins, aggregations, and Delta Lake. Advanced: Medallion architecture, Unity Catalog, and CI/CD pipelines.