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Impacts and challenges of cloud busi...
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Aljawarneh, Shadi.
Impacts and challenges of cloud business intelligence
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Impacts and challenges of cloud business intelligenceShadi Aljawarneh and Manisha Malhotra, editors.
其他作者:
Aljawarneh, Shadi.
出版者:
Hershey, Pennsylvania :IGI Global,2021.
面頁冊數:
1 online resource (xxiii, 263 p.)
標題:
Information technologyManagement.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5040-3
ISBN:
9781799850410 (ebk.)
Impacts and challenges of cloud business intelligence
Impacts and challenges of cloud business intelligence
[electronic resource] /Shadi Aljawarneh and Manisha Malhotra, editors. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (xxiii, 263 p.)
Includes bibliographical references and index.
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 ; Chapter 2. Impact of COVID-19 on cloud business intelligence ; Chapter 3. Job scheduling in cloud using seagull optimization algorithm ; Chapter 4. Integrating business intelligence with cloud computing -- 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 ; Chapter 6. Master data-supply chain management, the key lever for collaborative and compliant partnerships in big data era: marketing/sales case study ; Chapter 7. Web usage mining issues in big data: challenges and opportunities ; Chapter 8. A novel resource allocation and scheduling based on priority using metaheuristic for cloud computing environment -- Section 3. Metaheuristic approach and cloud security. Chapter 9. Task scheduling in cloud computing using spotted hyena optimizer ; Chapter 10. Impacts and challenges of cost-effective approaches using hybrid cloud infrastructure model in business analytics ; Chapter 11. A study of security challenges from a federeated cloud perspective -- Section 4. Energy and scheduling optimization. Chapter 12. A decadal walkthrough on energy modelling for cloud datacenters ; Chapter 13. Migrating complex applications from on-premises to cloud interface: cloud migration ; Chapter 14. Future of business intelligence in cloud computing.
"This book provides research on business intelligence in cloud computing and explores its applications in conjunction with other tools"--
ISBN: 9781799850410 (ebk.)Subjects--Topical Terms:
183357
Information technology
--Management.
LC Class. No.: HD30.2 / .I47 2021
Dewey Class. No.: 658.4/72
Impacts and challenges of cloud business intelligence
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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 ; Chapter 2. Impact of COVID-19 on cloud business intelligence ; Chapter 3. Job scheduling in cloud using seagull optimization algorithm ; Chapter 4. Integrating business intelligence with cloud computing -- 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 ; Chapter 6. Master data-supply chain management, the key lever for collaborative and compliant partnerships in big data era: marketing/sales case study ; Chapter 7. Web usage mining issues in big data: challenges and opportunities ; Chapter 8. A novel resource allocation and scheduling based on priority using metaheuristic for cloud computing environment -- Section 3. Metaheuristic approach and cloud security. Chapter 9. Task scheduling in cloud computing using spotted hyena optimizer ; Chapter 10. Impacts and challenges of cost-effective approaches using hybrid cloud infrastructure model in business analytics ; Chapter 11. A study of security challenges from a federeated cloud perspective -- Section 4. Energy and scheduling optimization. Chapter 12. A decadal walkthrough on energy modelling for cloud datacenters ; Chapter 13. Migrating complex applications from on-premises to cloud interface: cloud migration ; Chapter 14. Future of business intelligence in cloud computing.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5040-3
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