Facilitating big-data management in modern business and organizations using cloud computing: a comprehensive study

Qi, Wenhao; Sun, Meng; Hosseini, Seyed Reza Aghaseyed

doi:10.1017/jmo.2022.17

Cited by 12 publications

(11 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conventional data storing and handling strategies are not sufficient when working with big data, as these often impose additional monetary and computational costs. Some solutions are available to tackle these issues, such as cloud computing and platforms that allow end users to access shared resources over the internet [ 102 ]; Data Lakes, consisting of centralized repositories that allow for data storage and analysis [ 103 ]; and Data Mesh, a platform architecture that distributes data among several nodes [ 104 ]. Unfortunately, these solutions are not always easily accessible.…”

Section: Anticipated Challengesmentioning

confidence: 99%

Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action

Gutierrez

Lindegger

Heravi

et al. 2023

IJERPH

View full text Add to dashboard Cite

The emergence of big data science presents a unique opportunity to improve public-health research practices. Because working with big data is inherently complex, big data research must be clear and transparent to avoid reproducibility issues and positively impact population health. Timely implementation of solution-focused approaches is critical as new data sources and methods take root in public-health research, including urban public health and digital epidemiology. This commentary highlights methodological and analytic approaches that can reduce research waste and improve the reproducibility and replicability of big data research in public health. The recommendations described in this commentary, including a focus on practices, publication norms, and education, are neither exhaustive nor unique to big data, but, nonetheless, implementing them can broadly improve public-health research. Clearly defined and openly shared guidelines will not only improve the quality of current research practices but also initiate change at multiple levels: the individual level, the institutional level, and the international level.

show abstract

Section: Anticipated Challengesmentioning

confidence: 99%

Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action

Gutierrez

Lindegger

Heravi

et al. 2023

IJERPH

View full text Add to dashboard Cite

show abstract

“…Cloud computing is defined as the delivery of various services through the Internet, including data storage, servers, databases, networking, and software [26], [27]. The emergence of cloud computing as a dominant force in the digital economy has ushered in a new era of information technology.…”

Section: Cloud Computing Deployment and Service Modelsmentioning

confidence: 99%

Security challenges in cloud computing: A comprehensive analysis

Janet Julia Ang'udi

2023

World J. Adv. Eng. Technol. Sci.

View full text Add to dashboard Cite

The security issues surrounding cloud computing, a quickly developing technology that is now essential to both personal and business computing, are thoroughly examined in this study. Cloud computing presents serious security risks that require careful attention, despite its many advantages such as scalability, cost-effectiveness, and flexibility. In-depth discussions of a number of important security topics are covered in this paper, including network security, access control, data breaches, legal and regulatory framework compliance, and new threats and vulnerabilities. The paper illuminates the complexities of data and application security in the cloud environment by thoroughly examining these subjects. The study also looks at actual case studies to show how security breaches in cloud computing affect things and how to fix them. The study intends to offer insightful analyses of security challenges with practical implications by examining these cases and providing lessons learned from incidents that have happened in various cloud computing scenarios. Our comprehension of the complex nature of security threats and the tactics used to counter and mitigate them is improved by looking closely at these cases. This study looks into the potential benefits of cloud security enhancements from emerging technologies like artificial intelligence and machine learning, in addition to identifying existing challenges. The research investigates the potential benefits of these technologies in terms of automated security responses, adaptive access controls, and proactive threat detection. Cloud environments may be able to improve their security posture against new and sophisticated threats by utilizing the powers of AI and machine learning. Furthermore, by projecting future trends and challenges in cloud security, this paper offers a forward-looking view of the changing field. Comprehending these possible obstacles is crucial to creating proactive and flexible security approaches that can successfully tackle the ever-changing landscape of cloud computing. This paper's ultimate objective is to offer insightful information about practical approaches and industry best practices for safeguarding cloud environments. Organizations can navigate the complexity of the cloud landscape while protecting their data and applications from the ever-evolving threat landscape by striking a balance between the enormous potential of cloud computing and the necessity of maintaining strong security measures.

show abstract

“…Several of the articles in this issue examined cloud computing-based innovative technologies. For example, Qi, Sun, and Hosseini (2022) studied how to facilitate big-data management in modern businesses and organizations using cloud computing. Ardebili et al, (2022) analyzed and studied employee attendance management systems based on cloud computing.…”

Section: Looking Ahead: Future Research On Ict-based Systems In Moder...mentioning

confidence: 99%

The role of new ICT-based systems in modern management special issue editors:

Navimipour

Wan

Pasumarti

et al. 2023

Journal of Management & Organization

View full text Add to dashboard Cite

In this special issue, we have collected eight articles that offer new points for research on information and communications technology (ICT)-based systems. We focused on the intuitive nature of the relationship between new ICT-based systems and contemporary management, forming an integrative unit of analysis instead of focusing solely on new ICT-based systems and leaving contemporary management as a moderating or mediating factor. This special issue promoted interdisciplinary research at the intersection of new ICT-based systems and contemporary management, including cybernetics systems and knowledge management, service managing and the Internet of things, cloud and marketing management, business process re-engineering and management, knowledge management, and strategic business management, among others.

show abstract

Facilitating big-data management in modern business and organizations using cloud computing: a comprehensive study

Cited by 12 publications

References 69 publications

Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action

Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action

Security challenges in cloud computing: A comprehensive analysis

The role of new ICT-based systems in modern management special issue editors:

Contact Info

Product

Resources

About