What does the term "data lineage" refer to in integration?

The term "data lineage" refers specifically to the tracking of the flow and transformation of data through various systems. This concept is crucial in integration as it allows organizations to understand the complete journey of their data, from its origin to its final destination, including any changes or transformations that occur along the way.

Data lineage provides visibility into how data is created, moved, and altered, which aids in ensuring data quality, compliance, and governance. For example, knowing the source of data and how it has been manipulated can help identify issues or discrepancies that may arise in reports or analyses. It enhances trust in data by showing transparency in how it is handled across different systems.

Other options do not accurately capture the meaning of data lineage. The process of collecting user data is focused on data acquisition, not the movement and treatment of data across systems. Securing data in transit pertains to data protection, emphasizing security rather than tracking its flow. Lastly, categorizing data types deals with organizing data based on characteristics rather than understanding its journey and modifications.