Governance on Autopilot: Automate Data Governance with Lineage
Every data team knows the moment. Someone opens a table, sees a column called cust_seg_flg, and has to go ask around to find out what it means, whether it's safe to use, and whether anyone has already answered that question in another dashboard three teams over. Multiply that by thousands of tables and views, and you get the real cost of governance debt: not a compliance failure, but a daily tax on every person trying to do honest work with your data.
Most governance tooling today is reactive. You scan for problems, you get a report, someone opens a ticket, and three weeks later a column gets a description. The Governance Agent project(built on Google Cloud Knowledge Catalog, BigQuery, and column-level lineage) takes a different starting point: if a table upstream is already documented, tagged, and trusted, why should every downstream view have to earn that trust from scratch,...
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