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Activities represent the execution steps inside a pipeline. ADF categorizes activities into three main types:

Treat your ADF artifacts (ARM templates) as code. Use or GitHub Actions to automate validation, integration testing, and deployment across environments. This enables collaborative development and rollback capabilities. javatpoint azure data factory

If you are interested in exploring further, let me know if you would like me to provide , explain how to configure a Self-Hosted Integration Runtime , or compare ADF vs. Azure Databricks . Share public link Activities represent the execution steps inside a pipeline

[Connect & Ingest] ---> [Prepare & Transform] ---> [Publish] ---> [Monitor] Share public link [Connect & Ingest] ---> [Prepare

Triggers determine when a pipeline execution starts. ADF supports wall-clock schedule triggers, tumbling window triggers, and event-based triggers. Architecture and Data Flow Lifecycle

Copy Activity transfers data between different data stores.