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Healthcare Data Insights
In-depth guides, tutorials, and best practices for database design, data architecture, and healthcare data modeling.
Data Architecture Articles
15 articles
Showing 7–12 of 15 posts
Redshift vs Snowflake vs BigQuery for Healthcare Claims
Choosing a cloud data warehouse for healthcare claims is not just a cost and performance decision — it is a compliance, security, and architecture decision. We break down how Redshift, Snowflake, and BigQuery compare across the dimensions that matter most for claims data.
Data Lake vs Delta Lake vs Data Warehouse vs Data Mart: Complete Guide
Your CTO asks: "Data lake or data warehouse?" Your architect says: "Delta Lake." Your analyst wants: "Just a data mart." Everyone''s confused. Here''s what each actually does, when to use them, and how they work together—with real costs, timelines, and healthcare examples.
Data Warehouse Design Patterns: Star vs Snowflake Schema
Compare star schema and snowflake schema designs for data warehouses with practical examples and guidance on when to use each pattern.
Database Naming Conventions: A Complete Style Guide
Establish consistent database naming conventions for tables, columns, indexes, and constraints that improve maintainability and team productivity.
When Business Context Matters More Than 3NF
Third Normal Form is a technical achievement but business understanding is what makes data useful. This post explains why data models succeed or fail based on context, not normalization purity, and how enterprises should design models that reflect how the business actually thinks.
How Over-Normalization Destroys Reporting Performance
Normalization is foundational to relational design but taken too far, it quietly sabotages analytics. This post explains why over-normalized data models break reporting performance, frustrate analysts, and create unnecessary complexity in modern data platforms.
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