Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems - Citalopramonline.cf

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

Book Title: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Publisher: O'Reilly Media

Author: Martin Kleppmann

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Martin Kleppmann with Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

  • Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
  • Building Microservices: Designing Fine-Grained Systems
  • Clean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin Series)
  • Building Evolutionary Architectures: Support Constant Change
  • Effective Java
  • Cassandra: The Definitive Guide: Distributed Data at Web Scale
  • Site Reliability Engineering: How Google Runs Production Systems
  • The Kubernetes Book: Version 2.2 - January 2018
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • Database Reliability Engineering: Designing and Operating Resilient Database Systems