Tag:data modeling
All the articles with the tag "data modeling".
- 5 MIN READ•Feb 18, 2026
Data Modeling Best Practices: 7 Mistakes to Avoid
A bad data model doesn't announce itself. It hides behind slow dashboards, conflicting numbers, confused analysts, and AI agents that generate wrong SQL. By ...
data modelingdata engineeringbest practices - 5 MIN READ•Feb 18, 2026
Data Vault Modeling: Hubs, Links, and Satellites
Dimensional modeling works well when your source systems are stable and your business questions are predictable. But what happens when sources change constan...
data modelingdata engineeringdata vault - 5 MIN READ•Feb 18, 2026
Denormalization: When and Why to Flatten Your Data
Normalization 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 modelingdata engineeringdenormalization - 5 MIN READ•Feb 18, 2026
Data Modeling for Analytics: Optimize for Queries, Not Transactions
The data model that runs your production application is almost never the right model for analytics. Transactional systems are designed for fast writes : inse...
data modelingdata engineeringanalytics - 5 MIN READ•Feb 18, 2026
Slowly Changing Dimensions: Types 1-3 with Examples
Dimensions change. A customer moves cities. A product gets reclassified. An employee changes departments. How your data model handles these changes determine...
data modelingdata engineeringslowly changing dimensions - 5 MIN READ•Feb 18, 2026
Dimensional Modeling: Facts, Dimensions, and Grains
Dimensional modeling is the most widely used approach for organizing analytics data. Developed by Ralph Kimball, it structures data into two types of tables:...
data modelingdata engineeringdimensional modeling - 5 MIN READ•Feb 18, 2026
Data Modeling for the Lakehouse: What Changes
Traditional data modeling assumed you controlled the database. You defined schemas up front, enforced foreign keys at write time, and optimized with indexes....
data modelingdata engineeringdata lakehouse - 5 MIN READ•Feb 18, 2026
Star Schema vs. Snowflake Schema: When to Use Each
Both star schemas and snowflake schemas are dimensional models. They both organize data into fact tables (measurable events) and dimension tables (context ab...
data modelingdata engineeringstar schema - 5 MIN READ•Feb 18, 2026
Conceptual, Logical, and Physical Data Models Explained
Most data teams jump straight from a stakeholder request to creating database tables. They skip the planning steps that prevent misalignment, redundancy, and...
data modelingdata engineeringconceptual model - 5 MIN READ•Feb 18, 2026
What Is Data Modeling? A Complete Guide
Every database, data warehouse, and data lakehouse starts with the same question: how should this data be organized? Data modeling answers that question by c...
data modelingdata engineeringdata lakehouse - 8 MIN READ•Oct 30, 2024
Data Modeling - Entities and Events
How to Model Events and Entities
data lakehousedata engineeringdata modeling