Artículo: AMZ-B0G1NCQSWL

Modern Data Systems: Designing Reliable, Scalable, and Intelligent Applications: A practical journey into the architecture, patterns, and principles ... Foundations of Modern Data and AI Systems)

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0.20 kg
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Amazon

Sobre este producto
  • How to think like a data architect — designing for flow, not for features.
  • The core principles of scalability: partitioning, caching, replication, and elasticity.
  • The truth about consistency — from strong and eventual models to the CAP theorem and real-world trade-offs.
  • The patterns of reliability — fault tolerance, failover, retries, and circuit breakers that make systems resilient.
  • The inner workings of databases: B-trees, LSM trees, transaction isolation, and indexing.
  • How to design streaming and event-driven pipelines that move data at real-time speed.
  • Building observability and resilience into distributed systems with metrics, tracing, and feedback loops.
  • The architecture behind AI and machine learning systems — from data pipelines to MLOps and model deployment.
  • Practical design strategies for future-proofing your architecture through schema evolution and versioning.

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