Apache Spark ETL Pipelines Design

This hands-on course equips learners with the skills to design, build, and manage end-to-end ETL (Extract, Transform, Load) workflows using Apache Spark in a real-world data engineering context. Structured into two comprehensive modules, the course begins with foundational setup, guiding learners through the installation of essential components such as PySpark, Hadoop, and MySQL. Participants will learn how to configure their environment, organize project structures, and explore source datasets

• Install and configure PySpark, Hadoop, and MySQL for ETL workflows
• Build Spark applications for full and incremental data loads using JDBC
• Apply transformations, handle deployment issues, and optimize ETL pipelines

• Basic Python programming knowledge
• Fundamental database concepts