Streaming System 第二章：The What- Where- When- and How of Data Processing
本文由《Streaming System》一書第二章的提煉翻譯而來，譯者才疏學淺，若有錯誤，歡迎指正。轉載請註明出處，侵權必究。數據庫 本章主要介紹魯棒的處理亂序數據的核心概念，這些概念的運用使流處理系統超越批處理系統的關鍵所在。併發 路線圖 上一章中，咱們介紹了兩個很是關鍵的概念：app 事件時間和處理時間，只有在事件時間維度對數據進行處理，才能保證計算結果的準確性 窗口：窗口是處理無界數據流的
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相關文章
- 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. 轉：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