Azure Data Factory Triggers Tutorial | On-demand, scheduled and event based execution
Choosing the right trigger type is very important task when designing data factory workflows. Today I will show you four ways to trigger data factory pipelines so you can make sure you react to your business needs better.
In this episode I will show you four ways to trigger data factory workflows using schedules, tumbling windows, events and manual (on-demand) with logic apps.
### Want to connect?
- Blog https://marczak.io/
- Twitter https://twitter.com/MarczakIO
- Facebook https://www.facebook.com/MarczakIO
- LinkedIn https://www.linkedin.com/in/adam-marczak/
- Site https://azure4everyone.com
Next steps for you after watching the video
1. Watch Data Factory intro video
https://youtu.be/EpDkxTHAhOs
2. Check Pipeline execution and triggers in Azure Data Factory
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers?WT.mc_id=AZ-MVP-5003556
3. Watch Logic Apps intro video
https://youtu.be/ZvsOzji_8ow
Видео Azure Data Factory Triggers Tutorial | On-demand, scheduled and event based execution канала Adam Marczak - Azure for Everyone
In this episode I will show you four ways to trigger data factory workflows using schedules, tumbling windows, events and manual (on-demand) with logic apps.
### Want to connect?
- Blog https://marczak.io/
- Twitter https://twitter.com/MarczakIO
- Facebook https://www.facebook.com/MarczakIO
- LinkedIn https://www.linkedin.com/in/adam-marczak/
- Site https://azure4everyone.com
Next steps for you after watching the video
1. Watch Data Factory intro video
https://youtu.be/EpDkxTHAhOs
2. Check Pipeline execution and triggers in Azure Data Factory
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers?WT.mc_id=AZ-MVP-5003556
3. Watch Logic Apps intro video
https://youtu.be/ZvsOzji_8ow
Видео Azure Data Factory Triggers Tutorial | On-demand, scheduled and event based execution канала Adam Marczak - Azure for Everyone
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7 октября 2019 г. 19:00:08
00:21:39
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