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Autor(en): 
  • Andreas Francois Vermeulen
  • PRACTICAL DATA SCIENCE: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2018  
    Genre:  EDV / Informatik 
    ISBN:  9781484230534 
    EAN-Code: 
    9781484230534 
    Verlag:  Apress 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 42 mm 
    Gewicht:  1582 gr 
    Seiten:  805 
    Illustration:  9 Illustrations, color; 48 Illustrations, black and white; XXV, 805 p. 57 illus., 9 illus. in color. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.

    The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions.

    What You'll Learn
    • Become fluent in the essential concepts and terminology of data science and data engineering 
    • Build and use a technology stack that meets industry criteria
    • Master the methods for retrieving actionable business knowledge
    • Coordinate the handling ofpolyglot data types in a data lake for repeatable results
    Who This Book Is For

    Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers
      
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