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Event Streams in Action (Real-time event systems with Kafka and Kinesis)

List Price: $44.99
SKU:
9781617292347
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  • Product Details

    Author:
    Alexander Dean, Valentin Crettaz
    Format:
    Paperback
    Pages:
    344
    Publisher:
    Manning (May 30, 2019)
    Language:
    English
    ISBN-13:
    9781617292347
    ISBN-10:
    1617292346
    Weight:
    29.04oz
    Dimensions:
    7.38" x 9.25" x 0.9"
    File:
    Eloquence-SimonSchuster_07042026_P10292974_onix30_Complete-20260704.xml
    Folder:
    Eloquence
    List Price:
    $44.99
    Case Pack:
    20
    As low as:
    $40.49
    Publisher Identifier:
    P-SS
    Discount Code:
    G
    Pub Discount:
    37
    Imprint:
    Manning
  • Overview

    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

    1. Introducing event streams
    2. The unified log 24
    3. Event stream processing with Apache Kafka
    4. Event stream processing with Amazon Kinesis
    5. Stateful stream processing
    6. PART 2- DATA ENGINEERING WITH STREAMS

    7. Schemas
    8. Archiving events
    9. Railway-oriented processing
    10. Commands
    11. PART 3 - EVENT ANALYTICS

    12. Analytics-on-read
    13. Analytics-on-write