Microsoft Azure Databricks - 2026

This cohort is designed to help engineers learn Azure Databricks from a real production data engineering perspective.

Instead of only covering theory, we will focus on how Databricks is actually used inside modern data platforms.

By the end of the program, you will understand how to design and build scalable data pipelines using PySpark and the Databricks Lakehouse architecture.

What You Will Learn

• Azure Databricks architecture deep dive

• Databricks workspace and cluster management

• PySpark for large-scale data processing

• Delta Lake and Lakehouse architecture

• Bronze, Silver, Gold data pipeline design

• Data ingestion using Azure Data Factory

• Spark performance optimization techniques

• Unity Catalog and data governance

• Databricks integration with Azure ecosystem

• Real-world production use cases

Capstone Project

You will build an end-to-end retail data engineering pipeline.

The project will include:

Retail Systems

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Data Ingestion (Azure Data Factory)

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Data Lake Storage (ADLS Gen2)

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PySpark Processing (Databricks)

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Delta Lake Gold Tables

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Power BI Analytics

This capstone project simulates how enterprise data platforms are built in production environments.