Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
21 Hour(s) 7 Minute(s)
Language
English
Taught by
Shanmukh Sattiraju
Rating
Course Overview
[2026] Azure Databricks : Hands-on project with Unity Catalog , Delta lake, CI/CD, DABs , Lakeflow Declarative Pipelines
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.
Course Content
- 18 section(s)
- 189 lecture(s)
- Section 1 Introduction
- Section 2 Environment Setup
- Section 3 Azure Databricks - An Introduction
- Section 4 Delta lake
- Section 5 Unity Catalog
- Section 6 Spark Structured Streaming
- Section 7 Project Overview
- Section 8 Project Setup
- Section 9 Ingestion to Bronze
- Section 10 Silver Layer Transformations
- Section 11 Loading to Gold Layer
- Section 12 Orchestrating with Lakeflow Jobs ( Formerly: Workflows)
- Section 13 Reporting with Power BI
- Section 14 Continuous Integration and Continuous Deployment (CICD) using REST API
- Section 15 [UPDATE 2026] CICD using Databricks Asset Bundles (DABs)
- Section 16 [UPDATE 2026] Spark Lakeflow Declarative Pipelines ( Previously DLT)
- Section 17 [UPDATE 2026] - Delta Sharing , Clean Rooms, Lakehouse Federation
- Section 18 Conclusion
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
Skills covered in this course
Reviews
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PPaluru Sushank
Good for beginners who start there databricks as their career path
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MMontemayor Lago
I think the content is precise and direct. It does not go around concepts, go directly to the main points and videos are smooth since they are short and well explained. I really enjoyed it!
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JJesus Cardozo
Ha sido una buela lección, algunos videos con un audio con muy baja calidad pero otros, como este, han sido decentes.
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VVenkata Prasad Kistam
We need Spark Architecture and internal working
