What are the three types of triggers available in Azure Data Factory?

Azure Data Factory provides three trigger types:

1. Schedule trigger – runs a pipeline at a specified time or interval (e.g., every hour, daily). It is ideal for periodic data movement.
2. Tumbling window trigger – runs a pipeline at fixed, non‑overlapping intervals (e.g., every 15 minutes). It guarantees that each window runs exactly once and is useful for batch processing of incremental data.
3. Event‑based trigger – starts a pipeline in response to an event, such as the arrival of a file in Azure Blob or Data Lake Storage. It is event‑driven and eliminates the need for polling.

These triggers cover scheduled, windowed, and event‑driven scenarios, allowing ADF to orchestrate pipelines in a flexible manner.