Скачать или смотреть Mastering Storage Attached Indexes Transforming Cassandra Data Modeling by Caleb Rackliffe

Are you struggling with slow queries on massive Cassandra partitions? Tired of creating complex, denormalized tables just to support your application's filtering needs? It's time to transform your data modeling with Storage Attached Indexes (SAI). 🚀

Join Cassandra PMC member Caleb Rackliffe for a deep dive into one of Cassandra's most powerful features. This session, recorded at Community Over Code 2025, moves beyond the basics to give you a masterclass in leveraging SAI for performance, correctness, and operability.

In this talk, you'll learn:
The 'Why' of SAI: Understand the core problems SAI was designed to solve, enabling flexible and efficient filtering on large partitions without the dreaded ALLOW FILTERING.
Real-World Data Modeling: Walk through practical examples, like credit card transactions and photo libraries, to grasp the critical concept of selectivity and build more intuitive data models.
A Year of Hardening: Discover the crucial correctness fixes introduced since Cassandra 5.0, including Replica Filtering Protection and Non-Strict Filtering, which prevent silent data loss and consistency issues in distributed environments.
Performance Deep Dive: See how recent optimizations have dramatically improved query latency by making index skipping and row reads more efficient.
The Future of Indexing: Get a sneak peek at the exciting roadmap for SAI, including full support for LIKE queries, enhanced text analysis, query optimization, and modernizing vector search.

Whether you're a seasoned Cassandra operator, a data architect, or a developer looking to simplify your stack, this session is packed with invaluable insights. Watch now to master SAI and unlock new potential in your Cassandra cluster!

What are your experiences with SAI? Share your questions and thoughts in the comments below! 👇

Speaker: Caleb Rackliffe (Apache Cassandra Committer & PMC Member)
Event: Community Over Code 2025 - Minneapolis