Azure Data Factory allows creating event-based triggers that can run pipelines in response to events in Azure blob storage or Azure Data Lake Storage, such as files being added or deleted. Event-based triggers use Azure Event Grid under the hood and can start multiple pipelines from a single trigger or allow multiple triggers to start a single pipeline. The document provides an example of creating an event-based trigger in Azure Data Factory and accessing properties of the trigger event body.

1. 18- Azure Data Factory
 Event Based Trigger in Azure Data Factory
 Demo – Create Event Based Trigger
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2. Azure Data Factory
Trigger:
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 Using event-based triggers we can schedule to run the pipelines in response to an event
from azure blob storage. The most common use case is configuring to events like file
arrival or deletion in blob storage.
 Azure data factory works on its integration with Azure event grid which works on similar
lines but slightly different methodology.
 Event-based triggers work with not only blob but with ADLS too.
 Event triggers work on many to many relationships, a single trigger can start multiple
pipelines and multiple triggers can start a single pipeline.
https://learn.microsoft.com/en-us/azure/data-factory/how-to-create-event-
trigger?tabs=data-factory

3. Azure Data Factory
Event Based Trigger Properties:
 @triggerBody().folderName
 @triggerBody().fileName
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4. Azure Data Factory
Demo
Creation of Event based trigger in azure data
factory
https://portal.azure.com/
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5. Thank You
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