This course goes beyond theory to help you build production-ready data engineering solutions using Azure Databricks and Apache Spark. Whether you are preparing for the certification or aiming to transition into a data engineering role, this course equips you with the exact skills required in modern data platforms.
You will start by understanding how to design and implement scalable data pipelines, followed by deep hands-on experience with Delta Lake, including ACID transactions, schema enforcement, schema evolution, and time travel. You will also learn how to implement both batch and streaming ingestion pipelines using Auto Loader and Structured Streaming.
The course covers data transformation using Spark DataFrames and SQL, along with implementing the Medallion Architecture (Bronze, Silver, Gold) to structure reliable and maintainable pipelines. You will also explore Unity Catalog for data governance, security, and access control—an essential component for enterprise-grade solutions.
