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Autor(en): 
  • Alexander Dean
  • Event Streams in Action 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2019  
    Genre:  EDV / Informatik 
    ISBN:  9781617292347 
    EAN-Code: 
    9781617292347 
    Verlag:  Pearson Academic 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 188 mm / D 20 mm 
    Gewicht:  660 gr 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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