Data Model Meets World, Part VI: Design for Scalability

This blog series discusses how to design data models that can handle success and scale effectively. It emphasizes the importance of good data modeling choices as they significantly impact overall application performance, especially at large scales. The author provides tips on estimating partition size and storage size, testing data models using cassandra-stress tool, and load testing application code to ensure optimal performance. They also highlight common anti-patterns in Cassandra data modeling that can lead to scalability issues.

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