Grokking Streaming Systems: Real-time event processing, 9781617297304
Paperback
Unlock real-time insights: Build powerful, adaptable streaming systems from scratch.

Grokking Streaming Systems: Real-time event processing

real-time event processing

$176.64

  • Paperback

    314 pages

  • Release Date

    6 April 2022

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Summary

Unlock Real-Time Insights: Grokking Streaming Systems

“A must-read for engineers and solution architects who work with streams on a regular basis.” - Damian Esteban

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 yo…

Book Details

ISBN-13:9781617297304
ISBN-10:1617297305
Author:Josh Fischer, Ning Wang
Publisher:Manning Publications
Imprint:Manning Publications
Format:Paperback
Number of Pages:314
Release Date:6 April 2022
Weight:596g
Dimensions:234mm x 186mm x 18mm
What They're Saying

Critics Review

“A must-read for engineers and solution architects who work with streams on a regular basis.” Damian Esteban

“This is the best introduction to streaming systems I’ve read!” KentR. Spillner

“For any newcomer starting with streaming systems, this is yourbook.” Miguel Montalvo

“Provides a concise, complete, and engaging introduction todesigning, implementing, and maintaining streaming systems.” Chris Lundberg

“A highly approachable book for people eager to learn about streaming systems.” Beau Bender

“Provides a lot of useful information that I’d wish to have had when I first started working with Event Based systems.” Sebastián Palma

“A refreshing, framework-neutral approach to teaching that is very effective.” Anupam Sengupta

About The Author

Josh Fischer

Josh Fischer and Ning Wang are both Apache Committers, 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 1904 labs and Bayer. Ning is 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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