Azure Data Factory Cookbook

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.

Type
video
Category
Data
publication date
2024-02-28
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

no of pages
532
duration
1064
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
approach
This book follows a problem-to-solution approach to effectively explore various scenarios where Azure Data Factory can be used to solve real-world problems and teaches you how to make the most of ADF
audience
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.
meta description
Data Engineers guide to solve real-world problems encountered while building and transforming data pipelines using Azure's data integration tool
short description
With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premises. You’ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with ADF
subtitle
Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks
keywords
Azure cloud, Serverless Azure, Microsoft Fabric, Azure Databricks, Azure book, ELT books, ETL book, data processing, Azure Synapse Analytics, Azure Databricks, Azure Data Factory
Product ISBN
9781803246598