Database System Design Fundamentals: Distributed Data Systems (System Design, Interview Playbook) ibook
por Mr. Vijit Sharma
Descrição do livro
What You Will Learn Database & Storage Architecture: Explore how modern storage engines manage memory, disk layouts, B-trees, and LSM-trees to maximize read and write throughput. Sharding & Partitioning Strategies: Master horizontal scaling techniques, effective partition key selection, hash vs. range-based routing, and how to gracefully handle data rebalancing without downtime. Replication & High Availability: Unpack leader-follower topologies, synchronous and asynchronous replication lags, multi-leader setups, and failover mechanics. Consistency & Distributed System Theory: Demystify the CAP and PACELC theorems, quorum reads and writes, vector clocks, and the exact trade-offs between strong and eventual consistency. Message Queues & Event Streaming: Design asynchronous, decoupled architectures using event sourcing, log-based messaging platforms, and bulletproof delivery patterns. Search & Indexing: Optimize complex data retrieval workloads with inverted indexes, full-text search primitives, and high-performance querying structures. Who This Book Is For Designed for mid-to-senior software engineers, infrastructure specialists, and candidates preparing for rigorous system design interviews at high-growth technology companies. Whether you are scaling an existing database cluster from gigabytes to petabytes or designing greenfield microservices architectures, this book bridges the gap between theoretical distributed systems and production-grade execution. Elevate your technical engineering prowess and master the underlying mechanics of modern data infrastructure.
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