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Event Streams in Action: Real-time event systems with Kafka and Kinesis
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About Event Streams In Action: Real-time Event Systems
Product Description 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 Introducing event streams The unified log 24 Event stream processing with Apache Kafka Event stream processing with Amazon Kinesis Stateful stream processing PART 2- DATA ENGINEERING WITH STREAMS Schemas Archiving events Railway-oriented processing Commands PART 3 - EVENT ANALYTICS Analytics-on-read Analytics-on-write Review "Clear, precise, detailed, and well written. A must read." --Thorsten P. Weber, Mercateo "A brilliant, progressive introduction to event streaming and related technologies." --Cosimo Attanasi, ER Sistemi "A fantastic book covering the why, what, and how of data streams. Excellent tips and practical advice from the trenches." --Miguel Eduardo Gil Biraud, Minddistrict "With practical code examples that translate well across environments, languages, and disciplines, this is your springboard into real-world event streaming." --Bartosz "Azatar" Solowiej, pSilent Partners 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.
