The third session in our Cassandra data modeling series explores the powerful new data types and enhanced functions introduced in Cassandra 5.0. We'll examine how these capabilities enable more sophisticated data models and queries within our KillrVideo application. Learn to leverage vector data types for similarity-based recommendations, mathematical functions for analytics, and collection operations for more expressive queries—all while maintaining Cassandra's distributed performance advantages.

You'll learn:

• Vector Data Type Applications: Master the implementation and practical use cases for the new vector data type in content similarity and recommendation systems
• Mathematical and Similarity Functions: Apply the expanded suite of mathematical and vector similarity functions to create more powerful analytical queries
• Collection Operations: Utilize new collection functions to perform aggregations and transformations without complex client-side processing
• Time-Based Function Enhancements: Leverage improved time functions and extended TTL capabilities for more sophisticated content lifecycle management
• KillrVideo Feature Enrichment: Implement practical examples of how these new capabilities enhance user experience through better content discovery and personalization