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Event Streams in Action

Name: Event Streams in Action
Brand: Manning Publications
Price: 122.75 AUD

Real-Time Event Systems with Kafka and Kinesis

By: Alexander Dean

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Paperback | 7 June 2019 | Edition Number 1

At a Glance

Paperback
344 Pages

Dimensions(cm)
18.7 x 23.3 x 1.9

Paperback

$122.75

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Summary

Event Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments.

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

About the Technology

Many high-profile applications, like LinkedIn and Netflix, deliver nimble, responsive performance by reacting to user and system events as they occur. In large-scale systems, this requires efficiently monitoring, managing, and reacting to multiple event streams. Tools like Kafka, along with innovative patterns like unified log processing, help create a coherent data processing architecture for event-based applications.

About the Book

Event Streams in Action teaches you techniques for aggregating, storing, and processing event streams using the unified log processing pattern. In this hands-on guide, you'll discover important application designs like the lambda architecture, stream aggregation, and event reprocessing. You'll also explore scaling, resiliency, advanced stream patterns, and much more! By the time you're finished, you'll be designing large-scale data-driven applications that are easier to build, deploy, and maintain.

What's inside

Validating and monitoring event streams
Event analytics
Methods for event modeling
Examples using Apache Kafka and Amazon Kinesis

About the Reader

For readers with experience coding in Java, Scala, or Python.

About the Author

Alexander Dean developed Snowplow, an open source event processing and analytics platform. Valentin Crettaz is an independent IT consultant with 25 years of experience.

Table of Contents

PART 1 - EVENT STREAMS AND UNIFIED LOGS

Introducing event streams
The unified log 24
Event stream processing with Apache Kafka
Event stream processing with Amazon Kinesis
Stateful stream processing

PART 2- DATA ENGINEERING WITH STREAMS

Schemas
Archiving events
Railway-oriented processing
Commands

PART 3 - EVENT ANALYTICS

Analytics-on-read
Analytics-on-write

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