⚡ Ever wondered how Cassandra stores petabytes? How DynamoDB serves millions of
requests per second? How Bigtable powers Google Search? The answer is Partitioning —
and this video teaches you everything you need to know.
📖 In this deep-dive into Chapter 6 of "Designing Data-Intensive Applications" by
Martin Kleppmann, we cover:
🔑 What partitioning (sharding) is and why it's non-negotiable at scale
🔑 Key Range Partitioning vs Hash Partitioning — and how to choose
🔑 The Celebrity Hot Spot problem — and how to solve it in application code
🔑 Local vs Global Secondary Indexes — and their brutal trade-offs
🔑 Rebalancing strategies: Fixed partitions, Dynamic partitions, and the Cassandra approach
🔑 Why hash mod N will destroy your cluster
🔑 Request Routing — ZooKeeper, Gossip Protocols, and Routing Tiers
🔑 Massively Parallel Query Execution (MPP) for analytics
Whether you're preparing for system design interviews at FAANG, building your first
distributed system, or reading DDIA for the first time — this video gives you the
mental models to think and build like a principal engineer.
