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Build and Run ETL Pipelines in Databricks

Transform raw data into actionable insights. This course will teach you to build, optimize, and automate ETL pipelines with Databricks, leveraging Delta Lake for unified storage and efficient performance.

Dr. Ali Feizollah - Pluralsight course - Build and Run ETL Pipelines in Databricks
by Dr. Ali Feizollah
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What you'll learn

Modern organizations struggle with fragmented data silos and slow, error-prone ETL processes.

In this course, Build and Run ETL Pipelines in Databricks, you’ll gain the ability to design robust data pipelines that unify storage and streamline analytics. First, you’ll explore how Databricks and Delta Lake solve ETL challenges. Next, you’ll discover building pipelines with notebooks—extracting data, transforming it, and loading it into Delta Lake. Finally, you’ll learn how to optimize performance and automate workflows with Databricks Jobs. When you’re finished with this course, you’ll have the skills and knowledge of Databricks-powered ETL needed to unify data lakes/warehouses and deliver scalable, automated pipelines.

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About the author

Dr. Ali Feizollah - Pluralsight course - Build and Run ETL Pipelines in Databricks
Dr. Ali Feizollah

Hello, I'm Ali. I have a PhD in computer science.

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