/ awesome-db-roadmap / 07 - Data Modeling.md
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07 – Data Modeling & Architecture

Good data modeling separates junior from senior engineers. This module is about designing data to serve the business.


πŸ“Œ Overview

  • Learn to translate real-world requirements into robust schemas
  • Understand trade-offs between normalized and denormalized models
  • Design for analytics, OLTP, and microservices

🧱 Modeling Topics

[[ER Modeling]]

  • Identify entities, relationships, and attributes
  • Draw ER diagrams from real-world domains

[[Star Schema]]

  • Understand facts and dimensions
  • Learn when star schemas fit analytics workloads

[[Snowflake Schema]]

  • See how further normalization changes joins and storage

[[SCD Types]]

  • Learn Slowly Changing Dimensions (Type 1, 2, 3,...)
  • Model historical changes in data warehouses

[[Event Sourcing]]

  • Model state as a sequence of events

[[CQRS]]

  • Separate read and write models for scalability and clarity

[[Polyglot Persistence]]

  • Use multiple databases for different parts of the system

[[Microservice DB Patterns]]

  • Learn patterns: database-per-service, shared DB, saga, outbox

πŸ”— Connections

  • Builds on [[02 - RDBMS]] and [[03 - NoSQL]]
  • Directly used in [[04 - Big Data]] warehouses and [[05 - Cloud Databases]]