Curriculum

14 Chapters · 14 Lessons

  1. 1

    Book Preview

    1. Mastering Azure Data Factory for Modern Data Integration Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Introduction to Azure Data Factory

    1. (Included in full purchase)

      Introduction to Azure Data Factory

  4. 4

    Chapter 2 : Core Concepts and Architecture

    1. (Included in full purchase)

      Core Concepts and Architecture

  5. 5

    Chapter 3 : Creating and Managing Pipelines

    1. (Included in full purchase)

      Creating and Managing Pipelines

  6. 6

    Chapter 4 : Data Movement and Transformation

    1. (Included in full purchase)

      Data Movement and Transformation

  7. 7

    Chapter 5 : Orchestrating Complex Workflows

    1. (Included in full purchase)

      Orchestrating Complex Workflows

  8. 8

    Chapter 6 : Data Ingestion Patterns

    1. (Included in full purchase)

      Data Ingestion Patterns

  9. 9

    Chapter 7 : Security and Compliance

    1. (Included in full purchase)

      Security and Compliance

  10. 10

    Chapter 8 : Performance Tuning and Optimization

    1. (Included in full purchase)

      Performance Tuning and Optimization

  11. 11

    Chapter 9 : Advanced Features and Use Cases

    1. (Included in full purchase)

      Advanced Features and Use Cases

  12. 12

    Chapter 10 : Troubleshooting and Debugging

    1. (Included in full purchase)

      Troubleshooting and Debugging

  13. 13

    Chapter 11 : Fabric and Azure Data Factory

    1. (Included in full purchase)

      Fabric and Azure Data Factory

  14. 14

    INDEX

    1. (Included in full purchase)

      INDEX

About the course

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.

About the Author

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.