Azure Data Factory Cookbook: Build and manage ETL and ELT pipelines with Microsoft Azure’s serverless data integration service


Azure Data Factory Cookbook: Build and manage ETL and ELT pipelines with Microsoft Azure’s serverless data integration service
By 作者:Dmitry Anoshin (Author), Dmitry Foshin (Author), Roman Storchak (Author), Xenia Ireton (Author)
Publisher Finelybook 出版社 : Packt Publishing (December 24, 2020)
Language : English
pages 页数: 382 pages
ISBN-10 : 1800565291
ISBN-13 : 9781800565296
The Book Description robot was collected from Amazon and arranged by Finelybook
Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data Factory
Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running By 作者:showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into Azure Data Factory and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with Azure Data Factory and guide you in using Azure Portal to monitor pipelines. 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 as the main ETL and orchestration tool for your data warehouse or data platform projects.
What you will learn

Create an orchestration and transformation job in Azure Data Factory
Develop, execute, and monitor data flows using Azure Synapse
Create big data pipelines using Azure Data Lake and ADF
Build a machine learning app with Apache Spark and ADF
Migrate on-premises SSIS jobs to ADF
Integrate ADF with commonly used Azure services such as Azure IoT, Azure ML, and Azure Web Apps
Run big data compute jobs within HDInsight and Azure Databricks
Copy data from AWS S3 and Google Cloud Storage to Azure Storage using ADF built-in connectors

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