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© 2019

Large Scale Data Analytics

  • Presents large-scale protein data analytics

  • Introduces a language integrated query framework for big data

  • Provides efficient data restructuring of petascale data sources

Book

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

  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

  • Book Title Large Scale Data Analytics
  • Authors Chung Yik Cho
    Rong Kun Jason Tan
    John A. Leong
    Amandeep S. Sidhu
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • 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 Engineering (R0)
  • Hardcover ISBN 978-3-030-03891-5
  • eBook ISBN 978-3-030-03892-2
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages IX, 89
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Mathematical and Computational Engineering
  • Buy this book on publisher's site
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