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data-systems-architecture

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Foundations for data-heavy architecture

Software Engineering#indexing#scalability#transactions#data architecture#db design
Authorratacat
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Use when designing databases for data-heavy apps, making schema decisions, evaluating OLTP vs OLAP, indexing, and planning for scale. Also use when addressing N+1 queries or ORM issues.

Core Features & Use Cases

  • Foundational principles, trade-offs, and data-modeling guidance
  • Synthesis of Kleppmann + Fontaine + Dombrovskaya patterns
  • Navigation to domain-specific chapters (modeling, storage, indexing, scaling, transactions, integration)

Quick Start

Start with 01-foundational-principles.md to understand reliability, scalability, and maintainability; then explore 04-indexing.md for indexing strategies.

Dependency Matrix

Required Modules

None required

Components

references

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Name: data-systems-architecture
Download link: https://github.com/ratacat/claude-skills/archive/main.zip#data-systems-architecture

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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