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Triggers in ADF: Schedule, Tumbling Window and Event
The four Azure Data Factory trigger types — schedule, tumbling window, storage event and custom event — compared on what they guarantee, with a decision table, trigger JSON you can adapt, and the settings that cause missed or duplicate runs.
Tumbling Window Triggers: Backfills and Dependencies
A tumbling window trigger runs a pipeline once for each fixed, contiguous slice of time, and remembers which slices it has done. This guide explains the window model, a worked backfill of 31 daily windows, concurrency, delay and retry, dependencies between triggers, and passing window boundaries to a pipeline.
Event-Based Triggers with Azure Event Grid and ADF
Event-based triggers start an Azure Data Factory pipeline when something happens, not when a clock says so. This guide explains storage event and custom event triggers, the role of Azure Event Grid, path filters and their limits, passing the file name to the pipeline, and designing for duplicates and partial files.