Event Streams in Action: Real-time event systems with Kafka and Kinesis

Alexander Dean; Valentin Crettaz

ISBN 10: 1617292346 / ISBN 13: 9781617292347

Published by Manning, 2019

About this Item

This is a paper back book: Used - Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.

Seller Inventory # 3O6WBH002GCO_ns

Bibliographic Details

• Title: Event Streams in Action: Real-time event systems with Kafka and Kinesis
• Publisher: Manning
• Publication Date: 2019
• Language: English
• ISBN 10: 1617292346
• ISBN 13: 9781617292347
• Binding: Soft cover
• Condition: Good

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.

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

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.