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Sinopsis
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
- Introducing event streams
- The unified log 24
- Event stream processing with Apache Kafka
- Event stream processing with Amazon Kinesis
- Stateful stream processing
- Schemas
- Archiving events
- Railway-oriented processing
- Commands
- Analytics-on-read
- Analytics-on-write
PART 1 - EVENT STREAMS AND UNIFIED LOGS
PART 2- DATA ENGINEERING WITH STREAMS
PART 3 - EVENT ANALYTICS
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Event Streams in Action: Real-Time Event Systems with Kafka and Kinesis
Publicado por
Manning Publications, 2019
ISBN 10: 1617292346
ISBN 13: 9781617292347
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Event Streams in Action : Real-Time Event Systems with Kafka and Kinesis
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Manning Publications Co. LLC, 2019
ISBN 10: 1617292346
ISBN 13: 9781617292347
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Event Streams in Action: Real-time event systems with Kafka and Kinesis
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Manning Publications, 2019
ISBN 10: 1617292346
ISBN 13: 9781617292347
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Event Streams in Action: Real-time event systems with Kafka and Kinesis
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Event Streams in Action: Real-time event systems with Kafka and Kinesis
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ISBN 13: 9781617292347
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Event Streams in Action _ Real-time event systems with Kafka and Kinesis
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Event Streams in Action
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Manning Publications, US, 2019
ISBN 10: 1617292346
ISBN 13: 9781617292347
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Paperback. Condición: New. DESCRIPTIONEvent Streams in Action is a foundational book introducing the ULPparadigm and presenting techniques to use it effectively in data-richenvironments. The book begins with an architectural overview,illustrating how ULP addresses the thorny issues associated withprocessing data from multiple sources. It then guides the readerthrough examples using the unified log technologies Apache Kafkaand Amazon Kinesis and a variety of stream processing frameworksand analytics databases. Readers learn to aggregate events frommultiple sources, store them in a unified log, and build data processingapplications on the resulting event streams. As readers progressthrough the book, they learn how to validate, filter, enrich, and storeevent streams, master key stream processing approaches, and exploreimportant patterns like the lambda architecture, stream aggregation,and event re-processing. The book also dives into the methods andtools usable for event modelling and event analytics, along withscaling, 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. SomeScala or Python experience is helpful but not required. ABOUT THE TECHNOLOGYUnified Log Processing is a coherent data processing architecture thatcombines batch and near-real time stream data, event logging andaggregation, and data processing into a unified event stream. By efficientlycreating a single log of events from multiple data sources, Unified LogProcessing makes it possible to design large-scale data-driven applicationsthat are easier to design, deploy, and maintain. AUTHOR BIOAlexander Dean is co-founder and technical lead of Snowplow Analytics,an open source event processing and analytics platform. Nº de ref. del artículo: LU-9781617292347
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