January 2018
Beginner to intermediate
234 pages
7h 8m
Chinese
Content preview from Kafka权威指南
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这是一个激动人心的时刻，成千上万的企业在使用
Kafka
，三分之一多的世界
500
强公司
也在其中。
Kafka
是成长最快的开源项目之一，它的生态系统也在蓬勃发展。
Kafka
正在成
为管理和处理流式数据的利器。
Kafka
从何而来？我们为什么要开发
Kafka
？
Kafka
到底是什么？
Kafka
最初是
LinkedIn
的一个内部基础设施系统。我们发现，虽然有很多数据库和系统可
以用来存储数据，但在我们的架构里，刚好缺一个可以帮助处理持续数据流的组件。在开
发
Kafka
之前，我们实验了各种现成的解决方案，从消息系统到日志聚合系统，再到
ETL
工具，它们都无法满足我们的需求。
最后，我们决定从头开发一个系统。我们不想只是开发一个能够存储数据的系统，比如
传统的关系型数据库、键值存储引擎、搜索引擎或缓存系统，我们希望能够把数据看成
是持续变化和不断增长的流，并基于这样的想法构建出一个数据系统；事实上，是一个
数据架构。
这个想法实现后比我们最初预想的适用性更广。
Kafka
一开始被用在社交网络的实时应用
和数据流当中，而现在已经成为下一代数据架构的基础。大型零售商正在基于持续数据流
改造他们的基础业务流程，汽车公司正在从互联网汽车那里收集和处理实时数据流，银行
也在重新思考基于
Kafka
改造他们的基础流程和系统。
那么
Kafka
在这当中充当了怎样的角色？它与现有的系统有什么区别？
我们认为
Kafka
是一个流平台：在这个平台上可以发布和订阅数据流，并把它们保存起
来、进行处理，这就是构建
Kafka
的初衷。以这种方式来看待数据确实与人们习惯的想法 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.