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Configurable Pipelines in Azure Data Factory
🔥 *Learn Microsoft Fabric hands-on!*
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🔥 *Ace Your Certification Exams – Free Practice Questions!*
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☕ *Enjoying the Content? Support the Channel!*
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🚨 *Join the Free Microsoft Fabric Community on Discord!*
👉 https://discord.gg/33BR22bcHH
📚 *Recommended courses on Datacamp:*
Python Data Fundamentals: https://datacamp.pxf.io/c/6429510/3120208/13294
Data Analyst in Python: https://datacamp.pxf.io/c/6429510/3120142/13294
SQL Fundamentals: https://datacamp.pxf.io/c/6429510/3120137/13294
Power BI Fundamentals: https://datacamp.pxf.io/c/6429510/2917378/13294
PL-300: Microsoft Power BI Data Analyst: https://datacamp.pxf.io/c/6429510/3120133/13294
Data analyst in Power BI: https://datacamp.pxf.io/c/6429510/3120130/13294
More courses: https://datacamp.pxf.io/c/6429510/2073461/13294
These are affiliate links. If you sign up through them, I may earn a small commission at no extra cost to you. Thanks for supporting the channel.
📂 *Access Learning Materials (Files, Code, etc.)*
💾 Download helpful resources here:
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🎓 *More of My Content:*
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🔗 All the Videos:
https://www.youtube.com/@AleksiPartanenTech/videos
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
👉 https://www.skool.com/fabricforge
🔥 *Ace Your Certification Exams – Free Practice Questions!*
👉 https://certiace.com/
☕ *Enjoying the Content? Support the Channel!*
💖 https://buymeacoffee.com/aleksipartanentech
👨💼 *Follow Me on LinkedIn!*
🔗 https://www.linkedin.com/in/aleksi-partanen/
🚨 *Join the Free Microsoft Fabric Community on Discord!*
👉 https://discord.gg/33BR22bcHH
📚 *Recommended courses on Datacamp:*
Python Data Fundamentals: https://datacamp.pxf.io/c/6429510/3120208/13294
Data Analyst in Python: https://datacamp.pxf.io/c/6429510/3120142/13294
SQL Fundamentals: https://datacamp.pxf.io/c/6429510/3120137/13294
Power BI Fundamentals: https://datacamp.pxf.io/c/6429510/2917378/13294
PL-300: Microsoft Power BI Data Analyst: https://datacamp.pxf.io/c/6429510/3120133/13294
Data analyst in Power BI: https://datacamp.pxf.io/c/6429510/3120130/13294
More courses: https://datacamp.pxf.io/c/6429510/2073461/13294
These are affiliate links. If you sign up through them, I may earn a small commission at no extra cost to you. Thanks for supporting the channel.
📂 *Access Learning Materials (Files, Code, etc.)*
💾 Download helpful resources here:
🔗 https://drive.google.com/drive/folders/137oJUhjRJhZZsnRln8tlJBcl1OYc2X2C?usp=sharing
🎓 *More of My Content:*
🎥 https://www.youtube.com/playlist?list=PLlqsZd11LpUES4AJG953GJWnqUksQf8x2
🎥 https://www.youtube.com/playlist?list=PLlqsZd11LpUHKLILXjfW5ORjNiksC3GWZ
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🎥 https://youtu.be/0PjuNHYiX00
🎥 https://youtu.be/1PGE9bWqY2g
🎥 https://youtu.be/qoVhkiU_XGc
🔗 All the Videos:
https://www.youtube.com/@AleksiPartanenTech/videos
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
Azure Data Factory Configurable Pipelines Lookup Activity ForEach Activity Dynamic Pipelines JSON Configuration Azure Data Engineering Pipeline Adaptability Data Factory Demos Hands-on Tutorial Azure Data Factory Mastery Data Integration Strategies JSON Configuration in Azure Configurable Data Workflows Dynamic Pipeline Iterations Lookup Activity in Data Factory ForEach Activity Tutorial Azure Learning Azure Data Projects Data Factory Best Practices
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13 ноября 2023 г. 10:30:08
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