Cloud data warehouses have become an essential part of data analytics, offering speed, scalability, and elasticity for processing massive datasets12.
However, traditional caching methods like result caching and materialized views often struggle with data updates and can have high overhead134.
This episode explores predicate caching, a novel indexing technique that enhances query performance by caching ranges of qualifying data, leading to significant speed improvements without the drawbacks of traditional methods56.
Tune in to discover how predicate caching leverages the repetitive nature of real-world workloads, minimises resource usage, and adapts to data updates seamlessly.

Reference: https://drive.google.com/file/d/1K-tWD8-SnQbenEajEHKfPOOL7va-3viA/view

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