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Quality & Governance guides
How to choose a data catalog Pick a data catalog by who has to document it, how lineage gets built, and whether your organization needs governed workflow or fast, automated discovery. How to choose a data clean room Pick a data clean room by who you need to collaborate with, which cloud you're both on, and how strong a privacy guarantee the use case actually requires. How to choose a data governance and privacy platform Pick a governance and privacy platform by whether the job is discovering and controlling access to sensitive data or managing consent and subject rights. How to choose a data observability tool Pick a data observability tool by how it generates coverage, where it needs to run relative to your data, and whether you're already living inside dbt. How to choose a data quality testing tool Pick by how checks get authored — code library or check-as-code platform — and whether you need scheduling, dashboards and alerting, or just a test suite. How to choose a dbt testing and code quality tool Work out which layer you are missing — SQL style, project governance, data-impact review, or a whole dev environment — before comparing products. How to choose a synthetic data tool Decide what kind of data you need synthesized, where generation must happen, and whether an open-source library or a vendor platform fits your compliance bar. How to establish data governance A minimum viable governance programme — ownership, a catalog, access rules and stewardship — before you need it for a compliance request.