A specific step in a pipeline, such as "Copy Data" or "Execute Pipeline".

A pipeline can contain multiple activities, and you can chain them together using dependencies (e.g., "Activity B runs only after Activity A completes successfully").

[ Trigger ] │ ▼ [ Pipeline ] ───> [ Activity ] ───> [ Datasets ] ───> [ Linked Services ] A. Pipelines

E.g., Hive, Pig, MapReduce, Spark, Azure Databricks, and Data Flow.

Azure Data Factory follows a standard four-step workflow lifecycle: Step 1: Connect and Ingest

Whether you need troubleshooting steps for common pipeline . Share public link

Datasets represent the data structures within the data stores. They point to or reference the specific data you want to use in your activities (e.g., a specific table in a SQL database or a specific folder in Azure Blob Storage). 4. Linked Services

Adjust Data Integration Units (DIUs) and parallel copy settings for large file transfers.

This architecture supports connections to multiple data sources—including relational databases (SQL Server), on-premises networks, Blob Storage, external services, and both structured and unstructured data.

The compute infrastructure used by ADF to provide data movement and transformation capabilities across different network environments. Core Architecture and Workflow The ADF workflow typically follows a four-step lifecycle: Introduction to Azure Data Factory - Microsoft Learn