Event Streams in Action: Real-time event systems with Kafka and Kinesis
Authors: Alexander Dean – Valentin Crettaz
ISBN-10: 1617292346
ISBN-13: 9781617292347
Edition 版本: 1
Released: 2019-05-30
Print Length 页数: 344 pages
Book Description
Event Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments.
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.
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
Contents
Preface
Acknowledgments
About this book
About the authors
About the cover illustration
Part 1.Event streams and unified logs
Chapter 1.Introducing event streams
Chapter 2.The unified log
Chapter 3.Event stream processing with Apache Kafka
Chapter 4.Event stream processing with Amazon Kinesis
Chapter 5.Stateful stream processing
Part 2.Data engineering with streams
Chapter 6.Schemas
Chapter 7.Archiving events
Chapter 8.Railway-oriented processing
Chapter 9.Commands
Part 3.Event analytics
Chapter 10.Analytics-on-read
Chapter 11.Analytics-on-write
Appendix.AWS primer
Index
List of Fiqures
List of Tables
List of Listings
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