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    RISS 인기검색어

      Impacts and challenges of cloud business intelligence

      한글로보기

      https://www.riss.kr/link?id=M16279019

      • 저자
      • 발행사항

        Hershey : IGI Global, 2021

      • 발행연도

        2021

      • 작성언어

        영어

      • 주제어
      • DDC

        658.472 판사항(23)

      • ISBN

        9781799850403 (hardcover)
        1799850404 (hardcover)
        9781799854470 (paperback)
        1799854477 (paperback)
        9781799850410 (ebook)
        1799850412 (ebook)

      • 자료형태

        단행본(다권본)

      • 발행국(도시)

        Pennsylvania

      • 서명/저자사항

        Impacts and challenges of cloud business intelligence / Shadi Aljawarneh, Manisha Malhotra, [editors].

      • 형태사항

        xxiii, 263 p. : ill. ; 27 cm.

      • 총서사항

        Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series

      • 일반주기명

        Includes bibliographical references and index.

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      부가정보

      목차 (Table of Contents)

      • CONTENTS
      • Preface = xv
      • Acknowledgment = xxii
      • Section 1 Impact of Cloud Business Intelligence
      • Chapter 1 A Review of Trust and Security Concerns in Cloud Computing Adoption Intention in the Higher Education Sector : Research in Progress / Inderbir Kaur Sandhu[GSSDGS Khalsa College, Patiala, India] ; Manisha Malhotra[Chandigarh University, India] ; Praneet Rangi Randhawa[DAV College, Chandigarh, India] = 1
      • CONTENTS
      • Preface = xv
      • Acknowledgment = xxii
      • Section 1 Impact of Cloud Business Intelligence
      • Chapter 1 A Review of Trust and Security Concerns in Cloud Computing Adoption Intention in the Higher Education Sector : Research in Progress / Inderbir Kaur Sandhu[GSSDGS Khalsa College, Patiala, India] ; Manisha Malhotra[Chandigarh University, India] ; Praneet Rangi Randhawa[DAV College, Chandigarh, India] = 1
      • Chapter 2 Impact of COVID-19 on Cloud Business Intelligence / Pooja Thakur[Chandigarh University, India' ; Manisha Malhotra[Chandigarh University, India] = 13
      • Chapter 3 Job Scheduling in Cloud Using Seagull Optimization Algorithm / Meenakshi Garg[Government Bikram College of Commerce, India] ; Gaurav Dhiman[Government Bikram College of Commerce, India] = 27
      • Chapter 4 Integrating Business Intelligence With Cloud Computing / Shivani Jaswal[Chandigarh University, India] = 41
      • Section 2 Cloud Governance and Big Data : A Case Study
      • Chapter 5 Cloud Governance : How Cloud ML Is Mobilizing Some Educational Software by Governance and Computation / Anustup Mukherjee[Chandigarh University, India] ; Harjeet Kaur[Chandigarh University, India] = 58
      • Chapter 6 Master Data-Supply Chain Management, the Key Lever for Collaborative and Compliant Partnerships in Big Data Era: Marketing/Sales Case Study / Samia Chehbi Gamoura[Strasbourg University, France] ; Manisha Malhotra[Chandigarh University, India] = 72
      • Chapter 7 Web Usage Mining Issues in Big Data : Challenges and Opportunities / Sunny Sharma[Chandigarh University, India] ; Manisha Malhotra[Chandigarh University, India] = 102
      • Chapter 8 A Novel Resource Allocation and Scheduling Based on Priority Using Metaheuristic for Cloud Computing Environment / Meenakshi Garg[Government Bikram College of Commerce, India] ; Amandeep Kaur[Sri Guru Granth Sahib World University, India] ; Gaurav Dhiman[Government Bikram College of Commerce, India] = 113
      • Section 3 Metaheuristic Approach and Cloud Security
      • Chapter 9 Task Scheduling in Cloud Computing Using Spotted Hyena Optimizer / Amandeep Kaur[Sri Guru Granth Sahib World University, India] ; Gaurav Dhiman[Government Bikram College of Commerce, India] ; Meenakshi Garg[Government Bikram College of Commerce, India] = 136
      • Chapter 10 Impacts and Challenges of Cost-Effective Approaches Using Hybrid Cloud Infrastructure Model in Business Analytics / Yogesh Madhukar Ghorpade[Bharathiar University, India] ; R. Kamatchi Iyer[ISME School of Management and Entrepreneurship, India] = 150
      • Chapter 11 A Study of Security Challenges From a Federeated Cloud Perspective / Prathap R.[Vellore Institute of Technology, Vellore, India] ; Mohanasundaram R.[Vellore Institute of Technology, Vellore, India] = 182
      • Section 4 Energy and Scheduling Optimization
      • Chapter 12 A Decadal Walkthrough on Energy Modelling for Cloud Datacenters / Ahan Chatterjee[The Neotia University, India] = 195
      • Chapter 13 Migrating Complex Applications From On-Premises to Cloud Interface : Cloud Migration / Lokesh Pawar[Chandigarh University, India] ; Gaurav Bathla[Chandigarh University, India] = 205
      • Chapter 14 Future of Business Intelligence in Cloud Computing / Krishan Tuli[Chandigarh University, India] = 214
      • Compilation of References = 228
      • About the Contributors = 256
      • Index = 262
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      Impacts and Challenges of Cloud Business Intelligence

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      Impacts and Challenges of Cloud Business Intelligence

      Cloud computing provides an easier alternative for starting an IT-based business organization that requires much less of an initial investment. Cloud computing offers a significant edge of traditional computing with big data being continuously transferred to the cloud. For extraction of relevant data, cloud business intelligence must be utilized.

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