Student Number
Topic: An Examination of Big Data and Cloud Computing in Small and Medium Size Enterprises
Main Concept: Definition of Big Data and Cloud Computing
There is no formal definition for Big Data however has always been discussed into general discussion. Big Data is a unique approach that is used to explain the collection, processing, analysis, and visualization of enormous datasets (Emmanuel & Stanier, 2010). In other words, big data deals with data in large quantities.
Additionally, big data is always analyzed through a 3Vs approach, including Volume, Velocity, and Variety (De Mauro, Greco & Grimaldi, 2016). On the contrary, cloud computing is another paradigm that has been adopted by almost every industry. It is a platform on which computing applications are offered under services, including hardware, software, data centers over the Internet; while, services are of three types Software as a Service, Infrastructure as a Service, and Platform as a Service (Armbrust et al., 2010). Thus, cloud computing is an online hosting platform that offers services for using hardware, software, network, and data storage in centralized virtual space.
Concept 1: Current Trends in Big Data
Big data analytics has become a significant prospect because of data generation in an ample space. Every day, internet users produce approximately 2.5 quintillion bytes of data (Petrov, 2019). Therefore, current trends in big data include analytics for predictability of future possibilities. Additionally, other big data analytics is the usage of data to analyses cybersecurity threats for saving confidential information (Carillo, 2018). Hence, with the help of visualization techniques, it is helpful to sustain in the competition.
Concept 2: Current Trends in Cloud Computing
The current trends in cloud computing are to offer computing services of hardware, software, and data storage through the help of the virtualization concept. Whereas, hybrid cloud has become a new trend in which public, private, and on-premise services are integrated and preferred by 60 percent American enterprises (Carey, 2018). Further, some other trends in cloud computing include cloud elasticity, availability, power-efficient computing, security, privacy, migration, management, configuration, interoperability, and economics (Pallis, 2010). The trends are the current status of the cloud, which makes it appealing and unique for organizations.
Concept 2: Application to the SME
Big data and its analytical approach will be quite helpful for SME organizations to predict and forecast their business processes. Further, through such business insights obtain from a big data perspective, SME could make improvements for sustaining competition (Tyagi, 2020). While Cloud computing has become another online computing resource through the virtualization concept. Besides, the cloud is considered capable enough to obtain accuracy, reliability, reduced cost, reliability, and high defined services (Attaran & Woods, 2018). In context with small and medium-sized enterprises, cloud computing offers reliability and service sharing on virtual platforms, respectively. For instance, these organizations have limited expenses and thus needed an instant platform with budget feasibility. Cloud providers, including IBM and Oracle, are now offering cloud technologies removing SME adoption barriers (Tyagi, 2020). Thus, the cloud offers that with the help of the online service model in a very useful cost budget applicable to SME, respectively.
References
Armbrust, M., Fox, A., Griffith, R., Katz, R., Konwinski, A., & Patterson, D. (2010). A view of cloud computing. Communications Of The ACM, 53(4), 50-58. doi: http://doi.acm.org/10.1145/1721654.1721672
Attaran, M., & Woods, J. (2018). Cloud computing technology: improving small business performance using the Internet. Journal Of Small Business & Entrepreneurship, 31(6), 495-519. doi: 10.1080/08276331.2018.1466850
Carey, S. (2018). Cloud computing trends for 2019. Retrieved 25 February 2020, from https://www.computerworld.com/article/3427955/cloud-computing-trends-for-2019.html
Carillo, D. (2018). 10 Big Data Trends You Should Know – KDnuggets. Retrieved 25 February 2020, from https://www.kdnuggets.com/2018/09/10-big-data-trends.html
De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122-135. doi: 10.1108/lr-06-2015-0061
Emmanuel, I., & Stanier, C. (2010). Defining Big Data. In BDAW ’16: Proceedings of the International Conference on Big Data and Advanced Wireless Technologie. New York: Association for Computing Machinery. Retrieved from https://dl.acm.org/doi/10.1145/3010089.3010090
Pallis, G. (2010). Cloud Computing: The New Frontier of Internet Computing. IEEE Internet Computing, 14(5), 70-73. doi: 10.1109/mic.2010.113
Petrov, C. (2019). 16+ Big Data Statistics – The Information We Generate [2020]. Retrieved 25 February 2020, from https://techjury.net/stats-about/big-data-statistics/#gref
Tyagi, C. (2020). Big data analytics: No big money needed as most solutions go ‘freemium.’ Retrieved 25 February 2020, from https://economictimes.indiatimes.com/small-biz/security-tech/technology/big-data-analytics-no-big-money-needed-as-most-solutions-go-freemium/articleshow/64789553.cms