Challenges and Opportunities in Big Data and Cloud Computing

Author(s):  
Hassan Sohail ◽  
Zeenia Zameer ◽  
Hafiz Farhan Ahmed ◽  
Usama Iqbal ◽  
Pir Amad Ali Shah
Author(s):  
Sundeep Sahay ◽  
T Sundararaman ◽  
Jørn Braa

This chapter seeks to explore the challenge and opportunities that cloud computing and big data offer to strengthen public health informatics in LMICs. Cloud computing is slowly becoming a norm, almost representing a technical and social order which we do not fully understand, but need to accept. While there is a multiplicity of understandings associated with the cloud, we often focus only on its technical elements, while ignoring the business model that underlies it. This incomplete understanding may lead to LMICs making investments in solutions which are unsustainable, while also creating new challenges and demands for capacity. The cloud also raises key dilemmas around participation, decentralization, and ownership of data. Developments in big data, necessarily dependent on the cloud, are another source of challenges and opportunities for LMICs. Whether we like it or not, cloud computing and big data are integral elements to develop the Expanded PHI perspective, and we need to find appropriate approaches to do so.


2022 ◽  
pp. 1719-1732
Author(s):  
Fahad Nasser Alhazmi

There is a rapid evolution in the purpose and value of higher education brought about by technological advancement and data ubiquity. Data mining and advanced predictive analytics are increasingly being used in higher education institutions around the world to perform tasks, ranging from student recruitment, enrolment, predicting student behaviour, and developing personalised learning schemes. This chapter evaluates and assesses the impact of big data and cloud computing in higher education. The authors adopt systematic literature research approach that employs qualitative content analysis to establish their position with regards to the impact, benefits, challenges, and opportunities of integrating big data and cloud computing to facilitate teaching and learning.


Author(s):  
Fahad Nasser Alhazmi

There is a rapid evolution in the purpose and value of higher education brought about by technological advancement and data ubiquity. Data mining and advanced predictive analytics are increasingly being used in higher education institutions around the world to perform tasks, ranging from student recruitment, enrolment, predicting student behaviour, and developing personalised learning schemes. This chapter evaluates and assesses the impact of big data and cloud computing in higher education. The authors adopt systematic literature research approach that employs qualitative content analysis to establish their position with regards to the impact, benefits, challenges, and opportunities of integrating big data and cloud computing to facilitate teaching and learning.


Author(s):  
Nitirajsingh Sandu ◽  
Ergun Gide ◽  
Shakir Karim

The purpose of this paper is to do a comprehensive analysis of Cloud based Big Data challenges and opportunity for SMEs in India. Big Data (BD) are big buzz words, and many large enterprises are making significant advances in their product development, customer relations, and increasing profitability by targeting specific customers. Therefore, it has generated interest for both the academic and industry world as it has the potential to enhance the decision making process by providing valuable insights. The large organisations are benefiting from using BD as a tool to gain a competitive edge over rivals by driving new revenue streams and improving internal operational efficiency. The large organisations are already investing as well leveraging BD. On the contrary, Small and Medium Enterprises (SMEs) in India are slow adopters of new technologies due to many factors and pose to lose their competitive edge on the world stage. SMEs can also leverage BD to gain a strategic competitive advantage but are resource poor in terms of investment in manpower and financial resources. Major challenges still exist in the adoption of BD especially in information technology architecture. Cloud Computing (CC) can eliminate the need to maintain expensive computing hardware, software, and networking resources. CC can also provide a solution to scalability issues, high speed performance, and fault tolerance for using BD. With CC usage, SMEs can take advantage of BD without significant investment in information technology and manpower. This research uses secondary data as a research data collection technique, which is its limitation. However, a quantitative research methodology using statistical surveys is planned to be conducted in the near future to understand the factors impacting on the adoption of Cloud based Big Data for Indian SMEs. This paper contributes to exploring and enhancing the understanding of the challenges and opportunities for SMEs in India for adopting BD. This study will also have both industrial implications for practitioners in India, as well as those in other developing countries, and academic implications for researchers who are interested in BD adoption in developing countries. Keywords: Cloud Computing (CC), Big Data (BD), Small and Medium Enterprises (SMEs), Challenges, Opportunities, India.


Author(s):  
Kiran Kumar S V N Madupu

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.


Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.


Author(s):  
Shaveta Bhatia

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.


2018 ◽  
Vol 6 (12) ◽  
pp. 361-365
Author(s):  
Meble Varghese ◽  
Victor Jose

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