Managing Big Data Integration in the Public Sector, 1st Edition

  • Anil Aggarwal
  • Published By:
  • ISBN-10: 1466696508
  • ISBN-13: 9781466696501
  • DDC: 352.3
  • Grade Level Range: College Freshman - College Senior
  • 337 Pages | eBook
  • Original Copyright 2016 | Published/Released June 2016
  • This publication's content originally published in print form: 2016

  • Price:  Sign in for price

About

Overview

This title provides insights into the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. It explores issues surrounding data management, current models, and real-world applications. It is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Other Frontmatter.
Dedication.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
Big Data: Issues and Models.
1: The Interoperability of US Federal Government Information: Interoperability.
2: A Hybrid Approach to Big Data Systems Development.
3: Transparency and Enhanced Efficiency and Accountability Due to Big Data Adoption in Government Agencies and Other Enterprises.
4: Big Data and Cloud Interoperability.
Big Data: Management Issues.
5: How to Engrain a Big Data Mindset into Our Managers' DNA: Insights from a Big Data Initiative in a French Business School.
6: Big Data from Management Perspective.
7: Blending Technology, Human Potential, and Organizational Reality: Managing Big Data Projects in Public Contexts.
8: On Efficient Acquisition and Recovery Methods for Certain Types of Big Data.
Big Data: Health Care Issues and Applications.
9: Application of Big Data in Healthcare: Opportunities, Challenges and Techniques.
10: Big Data Paradigm for Healthcare Sector.
11: Towards an Intelligent Integrated Approach for Clinical Decision Support.
Big Data: Other Application.
12: Information Processing for Disaster Communications.
13: Big Data and National Cyber Security Intelligence.
14: Big Data Models and the Public Sector.
Big Data: Emerging Issues.
15: Emerging Role of Big Data in Public Sector.
16: Opportunities and Challenges of Big Data in Public Sector.
Compilation of References.
About the Contributors.
Index.
Front Cover.
Title Page.
Copyright Page.
Other Frontmatter.
Dedication.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
Big Data: Issues and Models.
1: The Interoperability of US Federal Government Information: Interoperability.
2: A Hybrid Approach to Big Data Systems Development.
3: Transparency and Enhanced Efficiency and Accountability Due to Big Data Adoption in Government Agencies and Other Enterprises.
4: Big Data and Cloud Interoperability.
Big Data: Management Issues.
5: How to Engrain a Big Data Mindset into Our Managers' DNA: Insights from a Big Data Initiative in a French Business School.
6: Big Data from Management Perspective.
7: Blending Technology, Human Potential, and Organizational Reality: Managing Big Data Projects in Public Contexts.
8: On Efficient Acquisition and Recovery Methods for Certain Types of Big Data.
Big Data: Health Care Issues and Applications.
9: Application of Big Data in Healthcare: Opportunities, Challenges and Techniques.
10: Big Data Paradigm for Healthcare Sector.
11: Towards an Intelligent Integrated Approach for Clinical Decision Support.
Big Data: Other Application.
12: Information Processing for Disaster Communications.
13: Big Data and National Cyber Security Intelligence.
14: Big Data Models and the Public Sector.
Big Data: Emerging Issues.
15: Emerging Role of Big Data in Public Sector.
16: Opportunities and Challenges of Big Data in Public Sector.
Compilation of References.
About the Contributors.
Index.