Azure Data Factory by Example : Practical Implementation for Data Engineers

Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components.This edition, updated for 2024, includes the latest developments to the Azure Data Factory service. Cover Front Matter 1. Creating an Azure Data Factory Instance 2. Your First Pipeline 3. The Copy Activity 4. Pipeline Expressions 5. Parameters 6. Controlling Flow 7. Data Flows 8. Integration Runtimes 9. Power Query in ADF 10. Publishing to ADF 11. Triggers 12. Monitoring 13. Tools and Other Services Back Matter