Snowflake Data Lineage Guide: From Metadata to Data Governance

Data lineage is a critical component in managing complex data ecosystems, especially with the growing regulatory demands that necessitate robust and automated tracking capabilities. Snowflake offers built-in data lineage features, providing both table-level and column-level tracking, which reveal the flow of data from source to target objects, and the relationships between them. There are several methods to access these capabilities, including directly querying Snowflake's OBJECT_DEPENDENCIES, using the Lineage API for machine learning workflows, and utilizing Snowsight for a visual representation of data flows. Despite these features, organizations often require more comprehensive cross-platform lineage solutions, leading to the adoption of tools like Select Star, which automates lineage tracking and provides detailed insights into data flows, enhancing data governance and quality. Select Star's capabilities have been successfully leveraged by companies such as HDC Hyundai, Wallbox, Nib, and Faire, showcasing improvements in data management, compliance, and cost efficiency. As data landscapes become more intricate, the future of data lineage lies in automated, granular tracking that facilitates better governance, compliance, and decision-making.