May 2025
Beginner to intermediate
266 pages
3h 10m
Chinese
Overview
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快速检测、排查并预防各类数据问题，通过数据可观测性这一最佳实践集合，帮助数据团队获得对数据及其使用情况的更深入洞察。如果您是依赖数据质量的数据工程师、数据架构师或机器学习工程师，本书将指导您在日常工作中聚焦于数据可观测性的实际落地。
作者安迪·佩特雷拉（Andy Petrella）将帮助您培养正确的习惯，以识别并解决数据问题，例如数据漂移和数据质量低下，从而阻止这些问题在数据应用程序、管道和分析中传播。您将学习如何引入数据可观测性，包括建立一个框架来生成和收集所需的所有信息。
- 掌握数据可观测性的核心原则与优势
- 利用数据可观察性检测、排查和预防数据问题
- 按照书中的步骤在数据项目中实现可观察性
- 利用数据可观察性构建与数据消费者之间的可信沟通框架
- 学习如何向同事传达数据可观察性的价值
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