Pentaho Data Integration: Practical ETL Patterns and Workflows

Data processing is essential for modern business intelligence and analytics. This course introduces the fundamentals of ETL using Pentaho Data Integration, also known as Kettle, enabling you to build robust data pipelines without writing code. You will gain a thorough understanding of essential data engineering terminology, transformation steps, and workflow design principles. What you will learn: Understand core ETL concepts and Kettle architecture; Extract data from relational databases, CSV files, and structured formats; Apply data cleansing, filtering, and transformation techniques; Merge and enrich datasets from disparate sources; Implement logging, error handling, and basic data quality checks; Configure target destinations for reporting and modern analytics repositories. The course begins with foundational definitions and core architecture before progressing through practical pipeline design scenarios and written exercises. Designed for beginners, data analysts, and database administrators, no prior programming experience is required. Read through the material to start automating your data integration tasks.