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What are the different components used in Azure Data Factory?

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Azure Data Factory consists of several numbers of components. Some components are as follows:

  • Pipeline: The pipeline is the logical container of the activities.
  • Activity: It specifies the execution step in the Data Factory pipeline, which is mainly used for data ingestion and transformation.
  • Dataset: A dataset specifies the pointer to the data used in the pipeline activities.
  • Mapping Data Flow: It specifies the data transformation UI logic.
  • Linked Service: It specifies the descriptive connection string for the data sources used in the pipeline activities.
  • Trigger: It specifies the time when the pipeline will be executed.
  • Control flow: It is used to control the execution flow of the pipeline activities.

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