Making Sense of Stream Processing: The Philosophy Behind Apache Kafka
简介：
事件流如何帮助您的应用程序更具可扩展性、可靠性和可维护性？本书向您展示了流处理如何使您的数据存储和处理系统更灵活，更简单。将数据构建为事件流并不新鲜，但随着Apache Kafka和Apache Samza等开源项目的出现，流处理终于进入了时代。使用几个案例研究，它解释了这些项目如何帮助您围绕流和物化视图重新定位数据库体系结构。
英文简介：
How can event streams help make your application more scalable, reliable, and maintainable? This book shows you how stream processing can make your data storage and processing systems more flexible and less complex. Structuring data as a stream of events isn't new, but with the advent of open source projects such as Apache Kafka and Apache Samza, stream processing is finally coming of age.
Using several case studies, it explains how these projects can help you reorient your database architecture around streams and materialized views.
- 书名
- Making Sense of Stream Processing: The Philosophy Behind Apache Kafka
- 译名
- 理解流处理：Apache Kafka 背后的哲学
- 语言
- 英语
- 年份
- 2018
- 页数
- 183页
- 大小
- 7.68 MB
- 标签
- 大数据
- 下载
Making Sense of Stream Processing: The Philosophy Behind Apache Kafka.pdf- 密码
- 65536
最后更新：2025-04-12 23:57:45