Large Scale Data Analytics

This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources is...

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Detaylı Bibliyografya
Asıl Yazarlar: Cho, Chung Yik (Yazar), Tan, Rong Kun Jason (Yazar), Leong, John A. (Yazar), Sidhu, Amandeep S. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Data, Semantics and Cloud Computing, 806
Konular:
Engineering mathematics.
Engineering > Data processing.
Mathematical and Computational Engineering Applications.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • Introduction
  • Background
  • Large Scale Data Analytics
  • Query Framework
  • Results and Discussion
  • Conclusion and Future Works.

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