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Large Scale Data Analytics

  • Chung Yik Cho
  • Rong Kun Jason Tan
  • John A. Leong
  • Amandeep S. Sidhu

Part of the Studies in Computational Intelligence book series (SCI, volume 806)

Also part of the Data, Semantics and Cloud Computing book sub series (DSCC, volume 806)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
    Pages 1-4
  3. Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
    Pages 5-18
  4. Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
    Pages 19-25
  5. Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
    Pages 27-45
  6. Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
    Pages 47-50
  7. Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu
    Pages 51-52
  8. Back Matter
    Pages 53-89

About this book

Introduction

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 becoming more urgent. Currently available frameworks and methodologies are limited in terms of efficiency and querying compatibility between data sources due to the differences in information storage structures. For this research, the authors designed and programmed a framework based on the fundamentals of language integrated query to query existing data sources without the process of data restructuring. A web portal for the framework was also built to enable users to query protein data from the Protein Data Bank (PDB) and implement it on Microsoft Azure, a cloud computing environment known for its reliability, vast computing resources and cost-effectiveness.

Keywords

Biomedicine Big Data Computational Intelligence Data Analytics Language Integrated Queries

Authors and affiliations

  • Chung Yik Cho
    • 1
  • Rong Kun Jason Tan
    • 2
  • John A. Leong
    • 3
  • Amandeep S. Sidhu
    • 4
  1. 1.Curtin Malaysia Research InstituteCurtin UniversityMiriMalaysia
  2. 2.Curtin Malaysia Research InstituteCurtin UniversityMiriMalaysia
  3. 3.Curtin Malaysia Research InstituteCurtin UniversityMiriMalaysia
  4. 4.Biological Mapping Research InstitutePerthAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-03892-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-03891-5
  • Online ISBN 978-3-030-03892-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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