Apache Spark Programming with Databricks

This course provides an in-depth exploration of Apache Spark and Delta Lake on Databricks, focusing on the core architectural components of Spark, the DataFrame API, and Structured Streaming. Participants will learn how to efficiently read, transform, and aggregate data using SparkSQL and the DataFrame API. The course also covers user-defined functions (UDFs), query optimization, partitioning strategies, and the advantages of Delta Lake for improving data pipelines. By the end of the course, learners will be able to execute streaming queries and understand how Delta Lake enhances real-time data processing.