國立虎尾科技大學 |

Impacts and challenges of cloud business intelligence

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Impacts and challenges of cloud business intelligence/ Shadi Aljawarneh and Manisha Malhotra, editors.
other author:	Aljawarneh, Shadi.
Published:	Hershey, Pennsylvania :IGI Global, : 2021.,
Description:	1 online resource (xxiii, 263 p.)
Subject:	Information technology - Management. -
Online resource:	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:

559272
Information technology
--Management.

LC Class. No.: HD30.2 / .I47 2021

Dewey Class. No.: 658.4/72

Impacts and challenges of cloud business intelligence
LDR:02622nam a2200265 a 4500 001 1041301
003 IGIG
005 20211027140554.0
006 m o d
007 cr cn
008 211215s2021 pau fob 001 0 eng d
020 $a 9781799850410 (ebk.)
020 $a 9781799850403 (hbk.)
020 $a 9781799854470 (pbk.)
035 $a (OCoLC)1228860517
035 $a 1101012172
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a HD30.2 $b .I47 2021
082 0 0 $a 658.4/72 $2 23
245 0 0 $a Impacts and challenges of cloud business intelligence $h [electronic resource] / $c Shadi Aljawarneh and Manisha Malhotra, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021.
300 $a 1 online resource (xxiii, 263 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "This book provides research on business intelligence in cloud computing and explores its applications in conjunction with other tools"-- $c Provided by publisher.
650 0 $a Information technology $x Management. $3 559272
650 0 $a Cloud computing. $3 716205
650 0 $a Business intelligence. $3 557121
700 1 $a Aljawarneh, Shadi. $3 1090910
700 1 $a Malhotra, Manisha, $d 1987- $e editor. $3 1155987
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5040-3