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Configurable Pipelines in Azure Data Factory

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How to Build Configurable Pipelines in Azure Data Factory
In this tutorial, Alexia demonstrates how to build configurable pipelines in Azure Data Factory using JSON configuration files. This advanced setup is perfect for scenarios where repeated processes, such as moving files, require dynamic parameters to handle different configurations.

What You’ll Learn:
🔹 How to use Lookup Activity to fetch JSON configuration files
🔹 Iterating over configuration data with For Each Activity
🔹 Setting up Copy Data Activity for dynamic binary file copies
🔹 Benefits of using JSON configuration files over database tables
🔹 Tips to make your pipelines highly reusable with parameters

Key Takeaways:
🔸 Understand how to structure a JSON configuration file for pipelines
🔸 Learn how to pass dynamic values to Copy Data Activity
🔸 Discover the advantages of JSON files over databases for configuration
🔸 Build pipelines that scale effortlessly across multiple configurations

Why Use JSON Configuration Files?
✔️ Easier version control with tools like Azure DevOps
✔️ Lower costs compared to SQL databases
✔️ Support for complex data types like arrays and objects

Related Hashtags:
#AzureDataFactory #ETL #DataIntegration #DynamicPipelines #ConfigurablePipelines #AzureBlobStorage

Видео Configurable Pipelines in Azure Data Factory канала Aleksi Partanen - Master Microsoft Fabric
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