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Azure Data Factory Cookbook Cover

Azure Data Factory Cookbook

Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks

Publisher:Packt Publishing Limited
By: Dmitry Foshin,  Xenia Ireton,  Tonya Chernyshova and  Dmitry Anoshin  
Paid access
|Mar 2024
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Data Engineers guide to solve real-world problems encountered while building and transforming data pipelines using Azure's data integration tool

Key Features

  • Solve real-world data problems and create data-driven workflows with ease using Azure Data Factory
  • Build an ADF pipeline that operates on pre-built ML model and Azure AI
  • Get up and running with Fabric Data Explorer and extend ADF with Logic Apps and Azure functions

Book Description

This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each.

You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF.

By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.

What you will learn

  • Build and Manage data pipelines with ease using the latest version of ADF
  • Configure, load data, and operate data flows with Azure Synapse
  • Get up and running with Fabric Data Factory
  • Working with Azure Data Factory and Azure Purview
  • Create big data pipelines using Databricks and Delta tables
  • Integrate ADF with commonly used Azure services such as Azure ML, Azure Logic Apps, and Azure Functions
  • Learn industry-grade best practices for using Azure Data Factory

Who this book is for

This book is for ETL developers, data warehouse and ETL architects, software professionals, and anyone else who wants to learn about the common and not-so-common challenges faced while developing traditional and hybrid ETL solutions using Microsoft's Azure Data Factory. You’ll also find this book useful if you are looking for recipes to improve or enhance your existing ETL pipelines. Basic knowledge of data warehousing is a prerequisite.

Table of Contents

  1. Getting Started with ADF
  2. Orchestration and Control Flow
  3. Setting up Synapse Analytics
  4. Working with Data Lake and Spark Pools
  5. Working with Big Data and Databricks
  6. Data Migration – Azure Data Factory and Other Cloud Services
  7. Extending Azure Data Factory with Logic Apps and Azure Functions
  8. Microsoft Fabric and Power BI, Azure ML and Cognitive Services
  9. Managing Deployment Processes with Azure DevOps
  10. Monitoring and Troubleshooting Data Pipelines
  11. Working with Azure Data Explorer
  12. The Best Practices of Working with ADF
https://github.com/PacktPublishing/Azure-Data-Factory-Cookbook-Second-Edition
PDF ISBN: 978-1-80324-182-1
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 532
Related subjects:
Computer sciences,
Databases and data mining

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