Azure Data Factory Cookbook 2nd Edition
Grab the definitive practical guide to building scalable cloud data pipelines with Azure Data Factory Cookbook, 2nd Edition by Dmitry Foshin. This updated, hands-on cookbook delivers clear, repeatable recipes for architects, data engineers, and developers working with Azure Data Factory (ADF) and modern ETL/ELT workflows.
Inside, you’ll find concise, real-world solutions for designing, deploying, and optimizing data pipelines — from connector configuration and mapping data flows to orchestration, monitoring, and security best practices. Each recipe explains the problem, offers step-by-step implementation, and highlights troubleshooting tips and performance considerations, making complex tasks approachable for teams of all sizes.
Whether you’re automating batch jobs, integrating streaming data, or linking ADF with Azure Synapse and other Microsoft Azure services, this second edition helps you reduce development time and increase reliability. Practical examples, code snippets, and strategy-focused guidance equip you to implement CI/CD, governance, cost controls, and scalable architectures that meet enterprise needs.
Ideal for cloud professionals across North America, Europe, Asia-Pacific, and beyond, this book blends technical depth with actionable guidance so you can deliver production-ready pipelines faster. If you’re aiming to master Azure Data Factory and transform raw data into business value, Dmitry Foshin’s cookbook is an essential reference.
Ready to accelerate your data engineering projects? Pick up Azure Data Factory Cookbook, 2nd Edition and start applying proven ADF recipes today.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


