Event Streams in Action : Real-Time Event Systems with Kafka and Kinesis

Alexander Dean, Alexander, Valentin Crettaz, Valentin

ISBN 10: 1617292346 / ISBN 13: 9781617292347

Published by Manning Publications Co. LLC, 2019

About this Item

Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Seller Inventory # 67717714-75

Bibliographic Details

• Title: Event Streams in Action : Real-Time Event Systems with Kafka and Kinesis
• Publisher: Manning Publications Co. LLC
• Publication Date: 2019
• Language: English
• ISBN 10: 1617292346
• ISBN 13: 9781617292347
• Binding: Soft cover
• Condition: Very Good
• Weight: 1.455 pounds

About this title

Synopsis

Summary

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

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
1. Introducing event streams
2. The unified log 24
3. Event stream processing with Apache Kafka
4. Event stream processing with Amazon Kinesis
5. Stateful stream processing
PART 2- DATA ENGINEERING WITH STREAMS
6. Schemas
7. Archiving events
8. Railway-oriented processing
9. Commands
PART 3 - EVENT ANALYTICS
10. Analytics-on-read
11. Analytics-on-write

About the Author

Alexander Dean is co-founder and technical lead of Snowplow Analytics, an open source event processing and analytics platform.

Valentin Crettaz is an independent IT consultant who's been working for the past 25 years on many different challenging projects across the globe. His expertise ranges from software engineering and architecture to data science and business intelligence. His daily job boils down to leveraging the latest and most cutting-edge web, data, and streaming technologies to implement IT solutions that will help reduce the cultural gap between IT and business people.