Summary
This guide provides an in-depth overview of data lineage within the Cloud Data Governance and Compliance (CDGC) framework. It outlines the significance of data lineage in ensuring data trustworthiness and usability, particularly for enterprises leveraging AI and requiring compliance with regulations such as GDPR and CCPA. The document details various types of data lineage supported in CDGC, including technical automated lineage, business lineage, and external lineage ingestion. It explains the processes involved in creating technical lineage, including the prerequisites and step-by-step procedures for setting up connections and running scans. Additionally, the guide discusses the role of reference objects in maintaining lineage continuity and the importance of connection assignment for linking placeholder assets to actual scanned objects. The document serves as a comprehensive resource for understanding and implementing data lineage strategies in CDGC.
