Data Lineage 101

Data lineage is a complex term that refers to the comprehensive tracking of data's origins, transformations, movements, and usage throughout its lifecycle, with metadata being a crucial component for its implementation. The concept is essential for understanding the impact of changes, debugging errors, and ensuring compliance in regulated industries. While data lineage can be technically detailed, involving table, column, and code traceability, it also encompasses vertical lineage, which considers the semantic and organizational context of data, such as business definitions and policies. Soda categorizes lineage into horizontal and vertical types to address both technical and business needs. Despite the challenges of incomplete tooling and fragmented metadata, data lineage provides critical traceability and shared understanding across teams, replacing guesswork with evidence. It is particularly important in regulated sectors like finance and healthcare, where non-compliance can have serious consequences.