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.

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Spis treści

Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition eBook -- spis treści

• 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