Which Azure Data Factory component is responsible for orchestrating transformation jobs and data movement commands?

The component responsible for orchestrating transformation jobs and data movement commands in Azure Data Factory is the pipeline. A pipeline is a logical grouping of activities that together perform a task. It allows you to manage the flow of data from various sources to various destinations, while also coordinating transformations.

Within a pipeline, you can define activities which include data movement (copying data from one location to another) and data transformation (applying transformations to the data). The pipeline manages the orchestration, allowing these activities to be executed in a specific order, handle dependencies, and manage parameters.

In contrast, linked services define the connection information needed for Azure Data Factory to connect to external data sources. Datasets represent your data structures, meaning they define the schema and location of the data used in the activities, but they do not orchestrate jobs. Activities are the individual tasks or commands within the pipeline, but by themselves do not provide orchestration. Therefore, the key function of controlling and executing the workflow is encapsulated within the pipeline component.