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Mastering Azure Data Factory for Modern Data Integration - Ashish Agarwal, Narendra Ragho Angane & Vijay Kumar

By Ashish Agarwal, Narendra Ragho Angane & Vijay Kumar

Release Date: 2025-07-03

Genre: Computers

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Modern Data Integration Made Easy with Azure Data Factory.

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.

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

Mastering Azure Data Factory for Modern Data Integration - Ashish Agarwal, Narendra Ragho Angane & Vijay Kumar

By Ashish Agarwal, Narendra Ragho Angane & Vijay Kumar

Release Date: 2025-07-03

Genre: Computers

(0 ratings)
Read Download
Modern Data Integration Made Easy with Azure Data Factory.

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.

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

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