Trigger in Azure Data Factory

1. 11- Azure Data Factory
 Trigger in Azure Data Factory
 Type of trigger in azure data factory
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2. Azure Data Factory
Trigger:
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 Triggers represent a unit of processing that determines when a pipeline execution needs to
be kicked off.
 Trigger – you can execute your pipeline click on trigger now.
 Trigger and pipeline have many-to-many relationship(except for the tumbling window
trigger)
 Multiple trigger can kick-of(execute) a single pipeline or single trigger can kick off(execute)
multiple pipeline

3. Azure Data Factory
Type of Trigger in azure data factory:
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Azure data factory have four type of triggers:
1. Schedule Trigger:- Schedule triggers are common triggers that can execute a
pipeline on the time schedule we set. Schedule trigger that invokes a pipeline on a
Wall-Clock schedule.
2. Tumbling Window Trigger:- Tumbling window triggers run at a specific time or on
a periodic interval from a mentioned start time.
3. Event based Trigger:- Using event-based triggers we can schedule to run the
pipelines in response to an event from azure blob storage.
4. Custom event Trigger:- Data integration scenarios often require Azure Data
Factory customers to trigger pipelines when certain events occur. Data Factory
native integration with Azure Event Grid now covers custom topics. You send
events to an event grid topic. Data Factory subscribes to the topic, listens, and
then triggers pipelines accordingly.

4. Azure Data Factory
Creation of Azure Pipeline Parameters
Demo
https://portal.azure.com/
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5. Thank You
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