Learning Path

Data Modeling for Performance and Scalability

Core Database Concepts → Performance and Scalability Considerations

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This learning path guides data engineers through the principles and practices of designing data models that are optimized for performance and scalability. It covers foundational database concepts, SQL, normalization, denormalization, dimensional modeling, data vault, schema design, and performance optimization, culminating in practical application with data modeling tools.

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Learning Route

10 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps