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Autor(en): 
  • Hubert Dulay
  • Mooney Stephen
  • Streaming Data Mesh: A Model for Optimizing Real-Time Data Services 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2023  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Distributed Systems / General / data mesh Kafka real-time streaming data engineering stream processing data services / Distributed systems / Distributed systems / Distributed computing
    ISBN:  9781098130725 
    EAN-Code: 
    9781098130725 
    Verlag:  O'Reilly 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 232 mm / B 178 mm / D 16 mm 
    Gewicht:  462 gr 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data.

      



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