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Recent Posts
Slowly Changing Dimensions in Master Data Management
Slowly changing dimensions (SCDs) are the key to making master data useful across both operations and analytics. This article explains all SCD types (0–6), compares MDM vs DW treatment, and shows how to implement change tracking using SQL Server, Informatica, and ADF.
When and Why to Build a Master Data API
Most teams do not plan a master data API. They build one after friction appears. This article explains when an API makes sense, what it should do, and who it really serves.
Master Data Architecture for Microservices
As organizations move to distributed architectures, customer, product, and reference data no longer live behind shared tables or implicit ownership. Identity must be explicit. Consistency becomes a design choice. Every shortcut taken in master data architecture shows up later as duplication, drift, or fragile integrations.
About Us
Data Doctrine is a U.S.-based blog and toolset for data professionals, launched in 2025 to make master data management practical, plainspoken, and powerful. We publish weekly insights, playbooks, and hands-on strategies that help data teams:
Whether you’re cleaning up a data swamp, building a golden record, or convincing leadership to invest in data governance, we’re here to help you make sense of it all.