Big Data

Big Data

by SANTOS, MARIBEL YASMINA

Type Book
Rate 0.0 /5

This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complexdecision processes, giving special attention to Big Data Warehouses as a way ofefficiently storing and processing batch or streaming data for structured orsemi-structured analytical problems.

Read More ↓

Title Statements

  • Full title :Big Data

Summary

This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complexdecision processes, giving special attention to Big Data Warehouses as a way ofefficiently storing and processing batch or streaming data for structured orsemi-structured analytical problems.

Read More ↓

Edition Statements

  • Publication Date:2020.

Publication Statements

  • Publisher(s):River Publishers
  • Place of Publication:Aalborg
  • Language:eng
  • Publication Date:2020.

Notes

5.4.4. Data Modeling Best Practices

The Physical Object

  • Description:1 online resource (316 pages)

Edition Identifiers

  • ISBN:9788770221832, 8770221839, 9781003337362, 1003337368, 9781000797190, 1000797198, 9781000794038, 1000794032
  • DOI:10.1201/9781003337362
  • oclc:on1153081248
  • LC Classification:QA76.9.B45
  • Dewey Decimal:005.7

Table of Contents

Front Cover -- Half Title -- Series Page -- RIVER PUBLISHERS SERIES IN INFORMATION SCIENCE AND TECHNOLOGY -- Title Page -- Copyright Page -- CONTENTS -- List of Figures -- List of Tables -- The Authors -- Acknowledgments -- Foreword -- Notation -- 1. Introduction -- 1.1. Objectives of this Book -- 1.2. Intended Audience -- 1.3. Book Structure -- 2. Big Data Concepts, Techniques, and Technologies -- 2.1. Big Data Relevance -- 2.2. Big Data Characteristics -- 2.3. Big Data Challenges -- 2.3.1. Big Data General Dilemmas -- 2.3.2. Challenges in the Big Data Life Cycle

2.3.3. Big Data in Secure, Private, and Monitored Environments -- 2.3.4. Organizational Change -- 2.4. Techniques for Big Data Solutions -- 2.4.1. Big Data Life Cycle and Requirements -- 2.4.1.1. General Steps to Process and Analyze Big Data -- 2.4.1.2. Architectural and Infrastructural Requirements -- 2.4.2. The Lambda Architecture -- 2.4.3. Towards Standardization: the NIST Reference Architecture -- 2.5. Big Data Technologies -- 2.5.1. Hadoop and Related Projects -- 2.5.2. Landscape of Distributed SQL Engines -- 2.5.3. Other Technologies for Big Data Analytics

3. OLTP-oriented Databases for Big Data Environments -- 3…

Read More ↓

Subjects

Writers

More from this Series

  • Acceleration of Biomedical Image Processing with Dataflow on FPGAs

    2016.
    more →
    Acceleration of Biomedical Image Processing with Dataflow on FPGAs
  • Acceleration of biomedical image processing with dataflow on FPGAs

    2016
    more →
    Acceleration of biomedical image processing with dataflow on FPGAs
  • Acceleration of biomedical image processing with dataflow on FPGAs

    2016.
    more →
    Acceleration of biomedical image processing with dataflow on FPGAs
  • Acceleration of biomedical image processing with dataflow on FPGAs

    ©2016
    more →
    Acceleration of biomedical image processing with dataflow on FPGAs
  • Acceleration of Biomedical Image Processing with Dataflow on FPGAs

    2016.
    more →
    Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

No downloadable files are registered for this work yet.