Abstract
Big data is a term that has been gaining considerable attention in recent years. Big data is essentially a massive amount of data that can be analyzed and used to make decisions. There are three main characteristics associated with big data: volume, variety and velocity. There are many motivations for the adoption of big data; this data has remarkable potential to drive innovation, the economy, productivity and future growth. Big data analytics has become very popular in the area of marketing, driving up value by understanding and engaging customers more effectively. There are many industries that have adopted the use of big data analytics and are experiencing fantastic results; the healthcare, retail, insurance and telecommunications industries have all displayed the endless possibilities of implemented big data into their operations. However, as more information is collected through big data, there becomes more concern for individuals’ privacy. To mitigate these potential risks, policies have been put into place such as the Personal Information Protection and Electronic Documents Act (PIPEDA). Furthermore, due to the nature of the technologies within the Internet of Things (IoT), there are security concerns. These systems are very resource-constrained which results in a large amount of attention in cryptography and security engineering. This paper provides an introduction to the concepts of big data, motivations, some case studies, and a brief discussion on privacy.
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Rafferty, W., Rafferty, L., Hung, P.C.K. (2016). Introduction to Big Data. In: Hung, P. (eds) Big Data Applications and Use Cases. International Series on Computer Entertainment and Media Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-30146-4_1
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DOI: https://doi.org/10.1007/978-3-319-30146-4_1
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