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Keep shoppingAzure Databricks End-to-End: Unity Catalog DABs CICD - 2026
19,813 students
Azure Databricks End-to-End: Unity Catalog DABs CICD - 2026
[2026] Azure Databricks : Hands-on project with Unity Catalog , Delta lake, CI/CD, DABs , Lakeflow Declarative Pipelines
Created byShanmukh Sattiraju
Last updated 3/2026
English
What you'll learn
- MASTER AZURE DATABRICKS END-TO-END – Build a real production-grade data engineering project using Databricks, Spark, Delta Lake, and CI/CD.
- UNITY CATALOG MASTERY – Implement enterprise-level governance using Unity Catalog, object model, access control, and multi-environment setups.
- DELTA LAKE DEEP DIVE – Understand Delta Lake internals, ACID transactions, schema evolution, time travel, and performance optimization.
- SPARK STRUCTURED STREAMING – Build real-time streaming pipelines using Spark Structured Streaming and Databricks best practices.
- MEDALLION ARCHITECTURE IMPLEMENTATION – Design Bronze, Silver, and Gold layers with incremental loading and scalable transformations.
- INCREMENTAL INGESTION WITH AUTOLOADER – Ingest data efficiently using Databricks Autoloader and incremental processing patterns.
- DELTA LIVE TABLES (DLT) – Implement declarative pipelines using Delta Live Tables for reliable and maintainable data processing.
- REAL-WORLD END-TO-END PROJECT – Work on a complete Databricks project from ingestion to reporting, simulating real enterprise scenarios.
- ORCHESTRATION WITH LAKEFLOW JOBS – Schedule and orchestrate pipelines using Databricks Workflows (Lakeflow Jobs).
- POWER BI REPORTING – Build analytics and reports on top of Databricks data using Power BI integration.
- CI/CD USING REST API – Implement CI/CD pipelines for Databricks using REST APIs for automated deployments.
- CI/CD USING DATABRICKS ASSET BUNDLES (DABs) – Build modern, scalable CI/CD pipelines using Databricks Asset Bundles (2026 update).
- ENVIRONMENT-AGNOSTIC CODE – Write reusable Databricks code that runs across Dev, Test, and Prod environments.
- CLUSTER & COMPUTE MANAGEMENT – Master cluster creation, configuration, optimization, and cost control in Databricks.
- ENTERPRISE GOVERNANCE & SECURITY – Apply data governance, access control, and security best practices using Unity Catalog.
- REAL-TIME HANDS-ON EXPERIENCE – Gain practical experience that mirrors real-world data engineering roles.
- INTERVIEW & JOB-READY SKILLS – Build skills aligned to Data Engineer roles using Databricks and Spark.
- DELTA SHARING - Collaborate with external organizations to enable secure and make the data sharing in a governed way
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Course content
18 sections • 189 lectures • 21h 7m total length
Requirements
- Basic knowledge on Python and SQL
- Basic knowledge on Azure Cloud
- An Azure account to implement the end to end project
Description
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.
Who this course is for:
- Data Engineers who want to get real time experience using Azure Databricks
- Data professionals who want to build an end to end project in Azure Databricks
- Engineers who want to learn Azure Databricks and its implementation
- Anyone looking for hands-on, real-world Databricks experience