Скачать или смотреть 13. ADF Copy Activity Enable Partition Discovery

In this video, we dive into the "Enable Partition Discovery" feature in Azure Data Factory (ADF) Copy Activity, a powerful tool for working with partitioned datasets. Learn how this feature simplifies data ingestion from partitioned file structures, such as year/month/day folders, without hardcoding paths.

📌 What You'll Learn:
Introduction to Partition Discovery

What is partition discovery in ADF?
When and why should you enable this feature?
Configuring Enable Partition Discovery in Copy Activity

Step-by-step guide to setting up Copy Activity for partitioned datasets.
Defining folder structure patterns for automatic discovery.
Real-World Use Case

Ingesting data from a hierarchical file system (e.g., year/month/day format).
Automating partition-based data loading into target systems.
Dynamic Dataset Examples

How to use dynamic datasets with partition discovery.
Combining this feature with parameters for dynamic file path generation.
Best Practices

Optimizing pipelines for large partitioned datasets.
Avoiding common issues when using partition discovery.
Troubleshooting & Tips

Common errors and how to resolve them.
Validating and testing partition patterns for accuracy.
💡 Why Watch This Video?
The Enable Partition Discovery feature is a game-changer for automating data movement in ADF. It eliminates the need for hardcoding, improves pipeline efficiency, and handles dynamic datasets with ease. This tutorial will equip you with the skills to leverage this feature effectively in your ETL workflows.

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🔗 Additional Learning Resources:
Automating Data Pipelines with ADF: Watch Next
Dynamic Datasets in ADF: Learn More
Partitioned Data Best Practices: Read Here
#AzureDataFactory #PartitionDiscovery #CopyActivity #ETL #DataEngineering #AzureTutorial #DataPipeline

Thank you for watching! Stay tuned for more insights and tutorials on Azure Data Factory and other data engineering tools. 🚀