Database Caching for System Design Interviews

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In this video, Neamah (Meta Machine Learning, Product Management) walks through the basic caching concepts for system design interviews.

Database caching involves storing frequently accessed data in a temporary location, typically in memory, so that it can be quickly retrieved without having to hit the database every time. This can significantly improve the performance of your database, as accessing data from memory is much faster than accessing it from a disk-based database.

Chapters -
00:00 - Intro
00:45 - How does caching work?
01:29 - Caching policies
02:38 - What is cache coherence?
03:29 - Decisions when designing a cache

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