May 2025
Beginner to intermediate
616 pages
7h 31m
Chinese
Overview
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数据是当今系统设计面临的诸多挑战的核心。我们需要解决一系列复杂问题，包括可扩展性、一致性、可靠性、效率和可维护性。此外，我们面临着种类繁多的工具，包括关系型数据库、NoSQL数据存储、流处理或批处理处理器以及消息中间件。对于您的应用程序，哪些是正确的选择？如何理解所有这些术语？
在这本实用且全面的指南中，作者马丁·克莱普曼（Martin Kleppmann）通过分析各种数据处理和存储技术的优缺点，帮助您在这一多元化的技术景观中找到方向。软件不断演进，但基本原则始终不变。通过本书，软件工程师和架构师将学会如何在实践中应用这些理念，以及如何在现代应用中充分利用数据。
- 深入了解您正在使用的系统，学习如何更有效地使用和操作它们
- 通过识别不同工具的优缺点，做出明智的决策
- 在一致性、可扩展性、容错性和复杂性之间权衡取舍
- 理解现代数据库所基于的分布式系统研究
- 窥探主要在线服务的幕后运作，并从其架构中汲取经验
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