2026 Azure Databricks End-to-End: Unity Catalog DABs CICD

Introducing Master Azure Databricks – Real-World Data Engineering & CI/CD

This course is designed to help you build, deploy, and operate real data engineering pipelines using Azure Databricks, exactly the way they are built in enterprise environments.

You won’t just learn tools —
you’ll learn how complete Databricks projects are designed, governed, and deployed in production.

By the end of this course, you will have hands-on experience building an end-to-end Databricks solution with batch processing, streaming, governance, and CI/CD.

What you’ll build and master in this course

FOUNDATIONS OF AZURE DATABRICKS

Understand how Databricks works internally, including workspaces, clusters, compute options, and architecture fundamentals.

ENVIRONMENT & COMPUTE SETUP

Set up environments, clusters, libraries, and access in a clean, scalable way suitable for real teams.

DELTA LAKE IN PRACTICE

Work deeply with Delta Lake features like ACID transactions, schema evolution, time travel, and performance tuning.

ENTERPRISE GOVERNANCE WITH UNITY CATALOG

Apply Unity Catalog to manage data access, object ownership, isolation, and security across environments.

REAL-TIME DATA WITH SPARK STRUCTURED STREAMING

Build streaming pipelines and understand how Databricks handles real-time data at scale.

PROJECT-DRIVEN LEARNING APPROACH

Understand the full project architecture, folder structure, and naming conventions before writing production code.

INGESTION USING AUTLOADER & BRONZE LAYER

Implement incremental ingestion patterns and land raw data reliably into the Bronze layer.

SILVER & GOLD DATA TRANSFORMATIONS

Clean, enrich, and model data into analytics-ready tables following the Medallion Architecture.

PIPELINE ORCHESTRATION WITH LAKEFLOW JOBS

Schedule, monitor, and manage Databricks workflows using Lakeflow Jobs (Workflows).

ANALYTICS WITH POWER BI

Connect Databricks to Power BI and build reports on top of curated Gold layer datasets.

CI/CD FOR AZURE DATABRICKS (REST API)

Implement CI/CD pipelines to deploy notebooks, jobs, and configurations automatically.

MODERN CI/CD USING DATABRICKS ASSET BUNDLES

Learn the latest, recommended CI/CD approach using Databricks Asset Bundles (2026 update).

DELTA LIVE TABLES (DLT)

Build reliable and declarative pipelines using Delta Live Tables.

PLUS: REAL PRODUCTION INSIGHTS

Learn patterns, mistakes to avoid, and best practices gathered from real Databricks projects.

What makes this course different

This course is project-first, not feature-first.

Instead of isolated demos, you’ll learn:

• How real Databricks projects are structured

• How batch, streaming, and CI/CD fit together

• How governance works in real teams

• How to write reusable, environment-agnostic code

You finish this course with practical confidence, not just theoretical knowledge.