How Data Governance Teams Are Using Graph Technology to Enforce Policy

What this episode covers

When a major European bank discovered that its data lineage was manually tracked in spreadsheets, the compliance team spent 14 months untangling a single loan-origination pipeline. This episode examines how graph databases are replacing traditional catalog tools for data governance, using a real case from a financial institution that cut policy-audit time from weeks to hours. Lucas and Luna break down why property graphs outperform relational models for lineage, how Neo4j and Amazon Neptune are competing in this niche, and what the rise of data-contract enforcement means for engineering teams building governance automation. They also discuss the tension between open standards like OpenLineage and vendor lock-in, and why the graph approach is especially relevant for organizations dealing with GDPR and AI-regulation requirements. If you're evaluating data-governance tooling or building policy-as-code infrastructure, this episode offers a concrete framework for when graph technology makes sense and when it doesn't. #DataGovernance #GraphDatabases #DataLineage #PolicyEnforcement #Neo4j #AmazonNeptune #OpenLineage #GDPR #DataContracts #DataEngineering #ComplianceAutomation #BusinessTechnology #Business #DataArchitecture #DataPolicy #FexingoBusiness #BusinessPodcast #DataBusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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