11. Store Pipeline Success and Failure Details in a SQL Table Using Custom Logging
In this video, you'll learn how to implement Custom Logging in Azure Data Factory (ADF) by storing pipeline execution details in a SQL table using a Stored Procedure. We will capture important information such as pipeline name, execution status (Success/Failure), run ID, start time, end time, error message, and execution duration. This approach helps in creating a centralized audit and monitoring framework beyond the default ADF monitoring capabilities.
Topics Covered:
What is Custom Logging in ADF?
Creating an Audit/Log Table in SQL Database
Creating a Stored Procedure for Logging
Logging Pipeline Success Details
Logging Pipeline Failure Details
Capturing Error Messages and Run Information
Using Stored Procedure Activity in ADF
Best Practices for Pipeline Monitoring and Auditing
This tutorial is useful for Azure Data Factory Developers, Data Engineers, and ETL Developers who want to build a robust logging and error-handling framework in their ADF pipelines.
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