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by Martin Kleppmann

Designing Data-Intensive Applications .

System Design Databases Architecture
Designing Data-Intensive Applications
Rating:
5/5
Read: 2023-03-15

Review

The best book on distributed systems and data engineering. Kleppmann expertly explains complex concepts like consistency, replication, partitioning, and stream processing with clarity and depth.

Key Concepts

  • Replication vs Partitioning: When to use each for scalability
  • CAP Theorem: Understanding the tradeoffs between Consistency, Availability, and Partition tolerance
  • Event Sourcing: Treating data as an immutable log of events
  • Batch vs Stream Processing: MapReduce vs Kafka Streams

This book fundamentally changed how I design backend systems.