Azure Data Pipeline for Dynamic Inline Error Handling | Data Engineering | Azure Data Factory | SQL
Learn how to develop inline logic to handle errors and apply mitigative measures upon failures.
In this hands-on demo, you will learn how to create exception-handling logic to perform necessary actions upon failures using Azure inbuilt math and string functions.
The pipeline will query a table from the SQL server, if the table doesn't exist or the lookup returns any errors, the pipeline will execute alternative queries by filtering the error message. Simultaneously, you will learn how to segregate the error response and trigger the conditional logic of ADF IF/ELSE activity.
00:30 - Overview
00:30 - Error detection
02:38 - Inline Error Handling
06:35 - Error handling with conditional split
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