1.Schedule vs Thumbling Window Trigger in Azure data factory
In Azure Data Factory (ADF), both scheduling and tumbling window triggers are used to control the execution of pipeline activities. However, they serve different purposes and are applied in different scenarios.
Schedule Trigger:
Purpose: A schedule trigger allows you to set up a recurring schedule for the execution of a pipeline. You can specify the frequency (daily, hourly, etc.) and the start time for the execution.
Use Case: Use schedule triggers when you have a pipeline that needs to run at specific intervals on a regular basis, such as daily ETL jobs or hourly data processing tasks.
Tumbling Window Trigger:
Purpose: A tumbling window trigger is designed for scenarios where you need to process data in discrete, non-overlapping chunks of time. It allows you to define a window size and an interval, and the pipeline will be triggered for each window based on these settings.
Use Case: Use tumbling window triggers when your data is organized in discrete time-based chunks (e.g., hourly, daily), and you want to process each chunk independently.
In summary, use schedule triggers for recurring, periodic executions, and tumbling window triggers when you need to process data in discrete time-based windows.