Valentin crettaz (18 Ergebnisse)

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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Soft cover. Zustand: New. ISBN:9781617292347.

Paperback. Zustand: Very good. Paperback Octavo. wraps, 319 pp Standard shipping (no tracking or insurance) / Priority (with tracking) / Custom quote for large or heavy orders.

Taschenbuch. Zustand: Neu. 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.…

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