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Full Description
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 DescriptionThis 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 forThis 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.
Contents
Table of Contents
Getting Started with ADF
Orchestration and Control Flow
Setting up Synapse Analytics
Working with Data Lake and Spark Pools
Working with Big Data and Databricks
Data Migration - Azure Data Factory and Other Cloud Services
Extending Azure Data Factory with Logic Apps and Azure Functions
Microsoft Fabric and Power BI, Azure ML and Cognitive Services
Managing Deployment Processes with Azure DevOps
Monitoring and Troubleshooting Data Pipelines
Working with Azure Data Explorer
The Best Practices of Working with ADF
