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In-depth guides, tutorials, and best practices for database design, data architecture, and healthcare data modeling.
Platform comparisons, TCO analysis, and governance frameworks — written for the people who approve the budget.
5 articles
A practical guide to modeling healthcare claims data using erwin Data Modeler — logical entity design, physical DDL generation, ISO-11179 naming conventions, and exporting to Snowflake and SQL Server.
The healthcare data modeling landscape has shifted in 2026. AI-native tools, FHIR R5 readiness, and LLM-assisted ERD generation have redefined what 'good' looks like. Here is how the leading platforms stack up — and why healthcare teams need a specialized category of their own.
ICD-11 is not a minor revision — it restructures the entire classification hierarchy, expands code length, and introduces new data types. Here is what every healthcare data engineer needs to know before their warehouse is forced to migrate.
Logical data models define how an enterprise understands its data. Learn why logical modeling is the foundation of scalable systems, reliable analytics, and long-term architectural success across industries.
Logical vs Physical Data Model, uses and benefits. Why physical data model should not exist without logical data model?
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