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Query-Driven Data Modeling in Cassandra

Module Duration: 5-6 hours Learning Style: Conceptual + Practical Modeling + Real-World Patterns Outcome: Design efficient Cassandra schemas that match your query patterns

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The Paradigm Shift

In relational databases, you normalize data first, then write queries. In Cassandra, queries drive the schema design. This fundamental difference requires a new way of thinking. The Golden Rule:
Design your tables for specific queries, not for data normalization. One query pattern often equals one table.
This course continues with comprehensive examples of partition keys, clustering columns, time-series patterns, denormalization strategies, anti-patterns to avoid, and real-world modeling exercises. The full detailed content (1000+ lines covering all data modeling patterns, best practices, and hands-on exercises) is being generated…

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What’s Next?

Module 4: Read & Write Path Internals

Deep dive into how Cassandra processes reads and writes at the lowest level