Jaco van der Laan
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Designing a Governed Data Correction & Adjustment Module on Azure Databricks

Enabling business-driven data corrections with Power BI write-back and bi-temporal historization Even in the most automated data platforms, manual corrections and adjustments are inevitable. Source systems may contain errors, late changes, or missing data — and business users often know best what should be corrected. Yet, giving users the ability to correct data directly can easily compromise governance, lineage, and auditability — unless carefully designed. This article outlines a proposed architecture for a governed correction and adjustment module within...
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