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Modern Data Integration Made Easy with Azure Data Factory.
Key Features
● Learn everything from provisioning to building robust, interactive pipelines using ADF Studio.
● Apply Azure Data Factory to real-life data challenges and business use cases with confidence.
● Master optimization, security, CI/CD integration, and production-grade deployment in modern data pipelines.
Book Description
Azure Data Factory (ADF) enables seamless orchestration, transformation, and movement of data across hybrid and cloud environments—making it a key skill for modern data professionals. Mastering Azure Data Factory for Modern Data Integration is a comprehensive guide to Microsoft's powerful cloud-based data integration service.
This book, crafted by industry experts, walks you through every stage of ADF implementation—from provisioning and building robust pipelines to handling complex workflows, securing data, and optimizing performance. This book takes you on a practical journey, starting with the foundational concepts of ADF, helping you understand its architecture, core components, and user-friendly interface. You'll learn how to create and manage pipelines, move and transform data, and orchestrate complex workflows using real-world data scenarios. As you progress, the book delves into advanced topics like performance optimization, security best practices, and integration with Azure Fabric, ensuring you're ready to tackle enterprise-grade challenges.
By the end of this hands-on guide, you'll have transitioned from simply using ADF to mastering it—confidently designing, deploying, and scaling data integration solutions tailored to your organization's needs. Whether you're just starting your cloud data journey or aiming to elevate your expertise, this book ensures you don't get left behind in the data-driven future.
What you will learn
● Design and orchestrate ETL pipelines using Azure Data Factory.
● Provision and configure ADF and linked services via Azure Portal.
● Understand ADF architecture, components, and integration capabilities.
● Build scalable data pipelines for movement and transformation.
● Implement security, compliance, and access control best practices.
● Deploy, monitor, optimize, and troubleshoot production-grade pipelines.
Table of Contents
1. Introduction to Azure Data Factory
2. Core Concepts and Architecture
3. Creating and Managing Pipelines
4. Data Movement and Transformation
5. Orchestrating Complex Workflows
6. Data Ingestion Patterns
7. Security and Compliance
8. Performance Tuning and Optimization
9. Advanced Features and Use Cases
10. Troubleshooting and Debugging
11. Fabric and Azure Data Factory
Index
About the Authors
Ashish Agarwal is currently working as Senior Engineering Architect in Azure SQL Engineering team at Microsoft, where he works on large and complex SQL modernization projects, transitioning from SQL on-premises to Azure IaaS and PaaS Platforms.
Narendra Ragho Angane is a Principal Engineering Architect Manager for the SQL CSE/Ninja Team at Microsoft Engineering, specializing in the SQL Server family and Azure Data Services.
Vijay Kumar is a Senior Engineering Architect in the Azure SQL Engineering team at Microsoft. He oversees modernization initiatives for both heterogeneous and homogeneous environments. His work involves migrating SQL Server, Oracle, PostgreSQL, and MySQL workloads from on-premises systems to Azure IaaS and PaaS platforms, assisting enterprise customers with the transition to cloud-native data solutions.
Ashish Agarwal is currently working as Senior Engineering Architect in Azure SQL Engineering team at Microsoft, where he works on large and complex SQL modernization projects, transitioning from SQL on-premises to Azure IaaS and PaaS Platforms.
He holds an Honors Bachelor of Engineering degree in Computer Science from BMIT, Jaipur, Rajasthan, India affiliated with Rajasthan Technical University, Kota. He earned the title of Best Outgoing Student in Computer Science Engineering for his graduating batch. He has worked at top product-based companies, FinTech organizations, and large MNCs, gaining experience in various domains.
Ashish Agarwal is an accomplished Azure Data Engineer, Business Intelligence SME, and data warehousing professional with over 15 years of extensive, hands-on experience across multiple industries. He has a proven track record of successfully managing diverse projects across various geographies and delivering solutions with minimal supervision.
Narendra Ragho Angane is a Principal Engineering Architect Manager for the SQL CSE/Ninja Team at Microsoft Engineering, specializing in the SQL Server family and Azure Data Services.
With over 25 years of experience in data and software technologies, such as C#, Python, Spark, PowerShell, Power BI, Azure SQL Family, Azure Fabric, Azure Data Factory, Azure Storage, and Azure Cosmos DB, he has gained extensive experience in software design and development for various service industries.
Vijay Kumar is a Senior Engineering Architect in the Azure SQL Engineering team at Microsoft. He oversees modernization initiatives for both heterogeneous and homogeneous environments. His work involves migrating SQL Server, Oracle, PostgreSQL, and MySQL workloads from on-premises systems to Azure IaaS and PaaS platforms, assisting enterprise customers with the transition to cloud-native data solutions.
Vijay holds a B.Sc. (Computer Science) and a master's in computer applications from Pt. Ravi Shankar Shukla University in Raipur, Chhattisgarh. He also earned a Post Graduate Diploma in Computer Application from Makhanlal Chaturvedi National University of Journalism in Bhopal, Madhya Pradesh.
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