Big data fundamentals concepts, drivers & techniques

Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analy...

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Detalles Bibliográficos
Otros Autores: Erl, Thomas, author (author), Khattak, Wajid, author, Buhler, Paul, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boston : Prentice Hall, ServiceTech Press [2016]
Colección:Prentice Hall service technology series from Thomas Erl.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009763052106719
Descripción
Sumario:Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more - all logically organized, presented in plain English, and supported by easy-to-understand diagrams and case study examples. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Notas:Includes index.
Descripción Física:1 online resource (1 volume) : illustrations
ISBN:9780134291215
9780134291208
9780134291079