Event Streams in Action : Real-Time Event Systems with Kafka and Kinesis
Language: English
Published by Manning Publications Mai 2019, 2019
Series: Book 122 of 182 - In Action
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 61.46
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Neuware - SummaryEvent Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments.About the TechnologyMany 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 BookEvent 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 KinesisAbout the ReaderFor readers with experience coding in Java, Scala, or Python.About the AuthorAlexander 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 ContentsPART 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 processingPART 2- DATA ENGINEERING WITH STREAMS- Schemas- Archiving events- Railway-oriented processing- CommandsPART 3 - EVENT ANALYTICS- Analytics-on-read- Analytics-on-write.…
Seller Inventory # 9781617292347
- Title
- Event Streams in Action : Real-Time Event Systems with Kafka and Kinesis
- Author
- Valentin Crettaz
- Publisher
- Manning Publications Mai 2019
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1617292346
- ISBN 13
- 9781617292347
- Item weight
- 544 grams
- Dimensions
- 234x185x18 mm
- Series
- Book 122 of 182: In Action
DESCRIPTION
Event Streams in Action is a foundational book introducing the ULP
paradigm and presenting techniques to use it effectively in data-rich
environments. The book begins with an architectural overview,
illustrating how ULP addresses the thorny issues associated with
processing data from multiple sources. It then guides the reader
through examples using the unified log technologies Apache Kafka
and Amazon Kinesis and a variety of stream processing frameworks
and analytics databases.
Readers learn to aggregate events from
multiple sources, store them in a unified log, and build data processing
applications on the resulting event streams. As readers progress
through the book, they learn how to validate, filter, enrich, and store
event streams, master key stream processing approaches, and explore
important patterns like the lambda architecture, stream aggregation,
and event re-processing. The book also dives into the methods and
tools usable for event modelling and event analytics, along with
scaling, resiliency, and advanced stream patterns.
KEY FEATURES
• Building data-driven applications that are easier to design,
deploy, and maintain
• Uses real-world examples and techniques
• Full of figures and diagrams
• Hands-on code samples and walkthroughs
This book assumes that the reader has written some Java code. Some
Scala or Python experience is helpful but not required.
ABOUT THE TECHNOLOGY
Unified Log Processing is a coherent data processing architecture that
combines batch and near-real time stream data, event logging and
aggregation, and data processing into a unified event stream. By efficiently
creating a single log of events from multiple data sources, Unified Log
Processing makes it possible to design large-scale data-driven applications
that are easier to design, deploy, and maintain.
AUTHOR BIO
Alexander Dean is co-founder and technical lead of Snowplow Analytics,
an open source event processing and analytics platform.
"Synopsis" may belong to another edition of this title.
About the Author
an open source event processing and analytics platform.
"About the title" may belong to another edition of this title.
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