Grokking Streaming Systems: Real-Time Event Processing (Paperback)

Fischer, Josh, Wang, Ning

Grokking Streaming Systems: Real-Time Event Processing (Paperback)
  • 出版商: Manning
  • 出版日期: 2022-04-19
  • 定價: $2,150
  • 售價: 9.5 折 $2,043
  • 貴賓價: 9.0 折 $1,935
  • 語言: 英文
  • 頁數: 312
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1617297305
  • ISBN-13: 9781617297304
  • 相關分類: 大數據 Big-data
  • 相關翻譯: 流計算系統圖解 (簡中版)

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商品描述

Written to be tool-agnostic, Grokking Streaming Systems helps you unravel what streaming systems are, how they work, and whether they're right for your business.

Every action by a user or a system process generates valuable data for your application or organization. Streaming systems capture and process these events, turning disconnected bits into coherent, useful information sources. Grokking Streaming Systems is a simple guide to the complex concepts you need to start building your own streaming systems.

Written to be tool-agnostic, Grokking Streaming Systems helps you unravel what streaming systems are, how they work, and whether they're right for your business. You'll start with the key concepts and then work your way through increasingly complex examples. You'll even be able to easily experiment with your own streaming system. By the time you're done, you'll be able to easily assess the capabilities of streaming frameworks, and solve common challenges that arise when building streaming systems.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

作者簡介

Josh Fischer is an Apache Committer, and part of the project management committee for the Apache Heron distributed stream processing engine. Josh is a software engineer at Scotcro and has worked with moving large datasets in real time for organizations such as 1904labs and Bayer.

Ning Wang is an Apache Committer, and part of the project management committee for the Apache Heron distributed stream processing engine. Ning is also a software engineer at Amplitude building real-time data pipelines. He was a key contributor of Apache Heron in Twitter's Real-time Compute team.

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