Grokking Streaming Systems: Real-time event processing

Josh Fischer, Ning Wang

ISBN 10: 1617297305 / ISBN 13: 9781617297304

Published by Manning Publications, US, 2022

About this Item

"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 you need to start building your own streaming systems. In this friendly, framework-agnostic tutorial, you'll learn how to handle real-time events and how to design and implement a system that's a perfect fit for your needs. Each new idea is carefully explained with diagrams, clear examples, and fun dialogue between perplexed personalities! about the technologyMany modern organizations rely on real-time event data to ensure top performance. In its raw state, most event data is unfiltered and hard to analyze. Streaming systems address this problem by processing event data so it can be used to create alerts, analysis dashboards, and automated responses, and to trigger other actions within a system. From live financial information to monitoring for signs of a DDoS attack and blocking rogue agents, streaming systems provide a big boost to the health, security, and flexibility of your applications. about the bookGrokking Streaming Systems helps you unravel what streaming systems are, how they work, and whether they're right for your business. Written to be tool-agnostic, you'll be able to apply what you learn no matter which framework you choose. You'll start with the key concepts and then work your way through increasingly complex examples, including tracking a real-time count of IoT sensor events and detecting fraudulent credit card transactions in real-time. You'll even be able to easily experiment with your own streaming system, by downloading the custom-built and super-simplified streaming framework designed for this book. 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. what's inside- Implement and troubleshoot streaming systems- Design streaming systems for complex functionalities- Assess parallelization requirements- Spot networking bottlenecks and resolve back pressures- Group data for high-performance systems- Handle delayed events in real-time systems about the readerFor readers interested in data processing. Examples in Java. about the authorJosh 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 1904labs 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.

Seller Inventory # LU-9781617297304

Bibliographic Details

• Title: Grokking Streaming Systems: Real-time event processing
• Publisher: Manning Publications, US
• Publication Date: 2022
• Language: English
• ISBN 10: 1617297305
• ISBN 13: 9781617297304
• Binding: Paperback
• Condition: New
• Weight: 596 grams

About this title

Synopsis

A friendly, framework-agnostic tutorial that will help you grok how streaming systems work—and how to build your own!

In Grokking Streaming Systems you will learn how to:

Implement and troubleshoot streaming systems
Design streaming systems for complex functionalities
Assess parallelization requirements
Spot networking bottlenecks and resolve back pressure
Group data for high-performance systems
Handle delayed events in real-time systems

Grokking Streaming Systems is a simple guide to the complex concepts behind streaming systems. This friendly and framework-agnostic tutorial teaches you how to handle real-time events, and even design and build your own streaming job that’s a perfect fit for your needs. Each new idea is carefully explained with diagrams, clear examples, and fun dialogue between perplexed personalities!

About the technology
Streaming systems minimize the time between receiving and processing event data, so they can deliver responses in real time. For applications in finance, security, and IoT where milliseconds matter, streaming systems are a requirement. And streaming is hot! Skills on platforms like Spark, Heron, and Kafka are in high demand.

About the book
Grokking Streaming Systems introduces real-time event streaming applications in clear, reader-friendly language. This engaging book illuminates core concepts like data parallelization, event windows, and backpressure without getting bogged down in framework-specific details. As you go, you’ll build your own simple streaming tool from the ground up to make sure all the ideas and techniques stick. The helpful and entertaining illustrations make streaming systems come alive as you tackle relevant examples like real-time credit card fraud detection and monitoring IoT services.

What's inside

Implement and troubleshoot streaming systems
Design streaming systems for complex functionalities
Spot networking bottlenecks and resolve backpressure
Group data for high-performance systems

About the reader
No prior experience with streaming systems is assumed. Examples in Java.

About the author
Josh Fischer and Ning Wang are Apache Committers, and part of the committee for the Apache Heron distributed stream processing engine.

Table of Contents
PART 1 GETTING STARTED WITH STREAMING
1 Welcome to Grokking Streaming Systems
2 Hello, streaming systems!
3 Parallelization and data grouping
4 Stream graph
5 Delivery semantics
6 Streaming systems review and a glimpse ahead
PART 2 STEPPING UP
7 Windowed computations
8 Join operations
9 Backpressure
10 Stateful computation
11 Wrap-up: Advanced concepts in streaming systems

About the Author

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.