Building Production Pipelines with Delta Lake and Databricks

Managing large-scale data requires reliable pipelines that can handle both batch and streaming workloads with high integrity. This text-based course guides you through modern data lakehouse engineering without complex setups. You will transition from basic data concepts to constructing fully operational data pipelines, gaining the confidence to manage, clean, and transform organizational data efficiently. What you'll learn: - Learn the core principles of the lakehouse architecture and Delta Lake foundations. - Implement the Medallion Architecture by structuring data into Bronze, Silver, and Gold layers. - Build automated, reliable data workflows using Delta Live Tables. - Apply data governance and security best practices using Unity Catalog. - Write efficient PySpark queries to transform and optimize your data storage. - Practice debugging pipeline failures and managing schema evolution. The course starts with fundamental data engineering terminology and core concepts before moving step-by-step through pipeline design, transformation rules, and production deployment strategies. Designed for aspiring data engineers, database administrators, and analysts new to Databricks, this course requires no prior cloud engineering experience. Start reading today to master the foundations of modern data lakehouse engineering.