Streaming System 第二章：The What- Where- When- and How of Data Processing
本文由《Streaming System》一书第二章的提炼翻译而来，译者才疏学浅，如有错误，欢迎指正。转载请注明出处，侵权必究。 本章主要介绍鲁棒的处理乱序数据的核心概念，这些概念的运用使流处理系统超越批处理系统的关键所在。 路线图 上一章中，我们介绍了两个非常关键的概念： 事件时间和处理时间，只有在事件时间维度对数据进行处理，才能保证计算结果的准确性 窗口：窗口是处理无界数据流的通用方法，目前共
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相关文章
- 1. Streaming System 第二章：The What- Where- When- and How of Data Processing
- 2. What and where are the stack and heap?
- 3. 转：What Are The Pros and Cons of HTTP Live Streaming (HLS)?
- 4. What are Huge Pages and the advantages of using them?
- 5. What the differece between nio and io
- 6. Data Processing with SMACK: Spark, Mesos, Akka, Cassandra, and Kafka
- 7. What is AMQP? and the architecture
- 8. How JavaScript works: an overview of the engine, the runtime, and the call stack
- 9. Project Butter - How It Works And What It Added
- 10. How AHI Fintech and DataVisor are Securing Data through AI and Big Data