Which term refers to the flow of data from a source system through various datasets?

The term that correctly describes the flow of data from a source system through various datasets is a data pipeline. A data pipeline consists of a series of data processing steps that involve the collection, transformation, and storage of data from its origin to its final destination.

In a data pipeline, data moves systematically from raw sources, such as databases or data lakes, through various processes that may include cleansing, aggregation, and enrichment, ultimately delivering it to analytics systems or data warehouses where it can be utilized for reporting and analysis. This continuous flow ensures that data is processed in a manner that is efficient and consistent, allowing for real-time or near-real-time access to insights.

Data integration, while related, specifically refers to the combination of data from different sources into a single unified view. Data modeling deals with the structure and organization of data, often used for designing how data will be stored and accessed. Data transformation refers to the specific operations performed on data to convert it into a desired format or structure but does not encompass the entire process of moving and managing data flows as a pipeline does.