Databricks is one of the most in-demand tools for modern data engineering, and in this course, you will learn how to use Databricks to build real-world ETL pipelines using PySpark, SQL, and Delta Lake. This course is designed for beginners as well as professionals who want to gain hands-on experience with Databricks and understand how data engineering workflows are built in real-world scenarios.
We will start from the basics by setting up Databricks Community Edition and understanding the core components such as workspace, clusters, notebooks, and DBFS. As you progress, you will learn how to work with data using PySpark and SQL, perform data transformations, and handle large datasets efficiently using Spark. You will also learn about Delta Lake and how it helps in building reliable and scalable data pipelines. By the end of this course, you will build a complete ETL pipeline where you will ingest raw data, clean and transform it, and create structured data for analytics.
