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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781803246598
Length 532 pages
Edition 2nd Edition
Tools
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Authors (4):
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Tonya Chernyshova Tonya Chernyshova
Author Profile Icon Tonya Chernyshova
Tonya Chernyshova
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
Author Profile Icon Dmitry Foshin
Dmitry Foshin
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
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Toc

Table of Contents (15) Chapters Close

Preface 1. Getting Started with ADF 2. Orchestration and Control Flow FREE CHAPTER 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 13. Other Books You May Enjoy
14. Index

External integrations with other compute engines (Snowflake)

Azure Data Factory (ADF), a powerful cloud-based data integration service from Microsoft, has emerged as the go-to solution for enterprises seeking efficient and scalable data movement across various platforms. With its extensive capabilities, ADF not only enables seamless data integration within the Azure ecosystem but also offers external integrations with leading compute engines such as Snowflake.

Azure Data Factory’s integration with Snowflake enables enterprises to seamlessly leverage cloud data warehousing capabilities. Snowflake’s architecture, built for the cloud, complements Azure’s cloud-native approach, offering a scalable and elastic solution for storing and processing vast amounts of data. The integration supports the creation of cost-effective and scalable data solutions. Azure Data Factory’s ability to dynamically manage resources and Snowflake’s virtual warehouse architecture...

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