Why lakehouse, why now
Regulated enterprises are converging on the lakehouse pattern as the right substrate for both BI and AI workloads. This whitepaper documents the six design patterns we use across industries.
Whitepaper · Data
Lakehouse design patterns for regulated industries
Iceberg, Delta, governance, lineage — patterns that survive the audit.
26
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12 min
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Topic
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Format
Key takeaways
- 01 Six lakehouse design patterns proven in regulated production.
- 02 Lineage-by-default architecture with column-level provenance.
- 03 A governance pattern that makes audit packs cheap, not expensive.
Iceberg vs Delta in production
A practical comparison of Iceberg and Delta Lake in regulated production environments. Includes performance, lineage, and governance trade-offs.
Lineage-by-default
Column-level lineage as a contract enforced at the data-fabric layer. The architecture that makes audit-on-demand realistic.
Governance patterns
Policy-as-code, automated control evidence, and the audit packs that ship without human assembly. Clients spend hours on audit prep, not weeks.
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