https://community.databricks.com/t5/community-articles/why-centralized-state-forces-distributed-reconstruction-a-three/m-p/157242#M1187 <P>Hi everyone — wanted to share a three-part series I recently published on Medium that examines architectural patterns from a real Databricks-based data consolidation project.</P><P>The specific case is a logistics platform unifying two legacy systems into a denormalized order model. But the series is really about a broader question: what happens when you treat a unified data model as a single recomputable structure, what that decision implies for the pipelines maintaining it, and what foundational primitives would change the shape of the problem.</P><P>A few of the themes the chapters develop:<BR />• A unified data model as a recomputation contract<BR />• The structural inevitability of dual-pipeline divergence without CDC<BR />• Why centralized state forces distributed reconstruction<BR />• Architectural directions — including Lakeflow and Lakebase — that respond to these patterns</P><P><A href="https://medium.com/@wesley.felipe/lessons-from-legacy-data-consolidation-how-a-single-sql-query-became-our-domain-model-part-1-9c5d331d881c" target="_self">Part 1 — How a single SQL query became our domain model</A></P><P><A href="https://medium.com/@wesley.felipe/lessons-from-legacy-data-consolidation-two-pipelines-one-model-and-the-drift-we-couldnt-avoid-ce9657e22d8d" target="_self">Part 2 — Two pipelines, one model, and the drift we couldn't avoid</A></P><P><A href="https://medium.com/@wesley.felipe/lessons-from-legacy-data-consolidation-why-centralized-state-forces-distributed-reconstruction-a10e3eaa013b" target="_self">Part 3 — Why centralized state forces distributed reconstruction</A></P> Tue, 19 May 2026 10:55:10 GMT wesleyfelipe 2026-05-19T10:55:10Z https://community.databricks.com/t5/community-articles/why-centralized-state-forces-distributed-reconstruction-a-three/m-p/157242#M1187 <P>Hi everyone — wanted to share a three-part series I recently published on Medium that examines architectural patterns from a real Databricks-based data consolidation project.</P><P>The specific case is a logistics platform unifying two legacy systems into a denormalized order model. But the series is really about a broader question: what happens when you treat a unified data model as a single recomputable structure, what that decision implies for the pipelines maintaining it, and what foundational primitives would change the shape of the problem.</P><P>A few of the themes the chapters develop:<BR />• A unified data model as a recomputation contract<BR />• The structural inevitability of dual-pipeline divergence without CDC<BR />• Why centralized state forces distributed reconstruction<BR />• Architectural directions — including Lakeflow and Lakebase — that respond to these patterns</P><P><A href="https://medium.com/@wesley.felipe/lessons-from-legacy-data-consolidation-how-a-single-sql-query-became-our-domain-model-part-1-9c5d331d881c" target="_self">Part 1 — How a single SQL query became our domain model</A></P><P><A href="https://medium.com/@wesley.felipe/lessons-from-legacy-data-consolidation-two-pipelines-one-model-and-the-drift-we-couldnt-avoid-ce9657e22d8d" target="_self">Part 2 — Two pipelines, one model, and the drift we couldn't avoid</A></P><P><A href="https://medium.com/@wesley.felipe/lessons-from-legacy-data-consolidation-why-centralized-state-forces-distributed-reconstruction-a10e3eaa013b" target="_self">Part 3 — Why centralized state forces distributed reconstruction</A></P> Tue, 19 May 2026 10:55:10 GMT https://community.databricks.com/t5/community-articles/why-centralized-state-forces-distributed-reconstruction-a-three/m-p/157242#M1187 wesleyfelipe 2026-05-19T10:55:10Z