Question

What are the top-level concepts of Azure Data Factory?

Answer 1

Following is a list of four basic top-level concepts of Azure Data Factory:

1. Pipeline: Pipeline is one of the most important top-level concepts of Azure Data Factory. It acts as a carrier in which many processes occur where activity is an individual process.
2. Activities: The activities concepts specify the steps of processes in the pipeline. A pipeline can have one or multiple activities. An activity can be anything. For example, a process like querying a data set or moving the dataset from one source to another.
3. Datasets: Datasets specify the sources of data. In other words, we can say that a dataset is a data structure that holds our data.
4. Linked Services: Linked services are the store information that is very important while connecting to the resources or other services. For example, you must need a connection string connected to an external device if you have an SQL server. Here, you have to mention the source and the destination of your data.