What Is Data Modeling? A Complete Guide
February 19, 2026Every database, data warehouse, and data lakehouse starts with the same question: how should this data be organized? Data modeling answers that question by c...
10 posts tagged with "data architecture"
Conceptual, Logical, and Physical Data Models Explained
February 19, 2026Most data teams jump straight from a stakeholder request to creating database tables. They skip the planning steps that prevent misalignment, redundancy, and...
Star Schema vs. Snowflake Schema: When to Use Each
February 19, 2026Both star schemas and snowflake schemas are dimensional models. They both organize data into fact tables (measurable events) and dimension tables (context ab...
Data Modeling for the Lakehouse: What Changes
February 19, 2026Traditional data modeling assumed you controlled the database. You defined schemas up front, enforced foreign keys at write time, and optimized with indexes....
Dimensional Modeling: Facts, Dimensions, and Grains
February 19, 2026Dimensional modeling is the most widely used approach for organizing analytics data. Developed by Ralph Kimball, it structures data into two types of tables:...
Slowly Changing Dimensions: Types 1-3 with Examples
February 19, 2026Dimensions change. A customer moves cities. A product gets reclassified. An employee changes departments. How your data model handles these changes determine...
Data Modeling for Analytics: Optimize for Queries, Not Transactions
February 19, 2026The data model that runs your production application is almost never the right model for analytics. Transactional systems are designed for fast writes : in...
Denormalization: When and Why to Flatten Your Data
February 19, 2026Normalization is the first rule taught in database design. Eliminate redundancy. Store each fact once. Use foreign keys. It's the right rule for transactiona...
Data Vault Modeling: Hubs, Links, and Satellites
February 19, 2026Dimensional modeling works well when your source systems are stable and your business questions are predictable. But what happens when sources change constan...
Data Modeling Best Practices: 7 Mistakes to Avoid
February 19, 2026A bad data model doesn't announce itself. It hides behind slow dashboards, conflicting numbers, confused analysts, and AI agents that generate wrong SQL. By ...