2015
DOI: 10.1016/j.jpdc.2014.08.003
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Big Data computing and clouds: Trends and future directions

Abstract: This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualisation and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data com… Show more

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Cited by 658 publications
(327 citation statements)
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References 78 publications
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“…According to Bello-Orgaz, Jung and Camacho (2016), some of the challenges related to velocity include the Introduction of previously stored legacy collection of data and different forms of streamed data from multiple sources. Veracity refers to the level of trust and reliability associated with the data given its source (Assunção et al, 2015). According to Jamil et al (2015), data veracity has four components, namely, trustworthiness, availability, accountability, and authenticity.…”
Section: Literature Review Big Datamentioning
confidence: 99%
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“…According to Bello-Orgaz, Jung and Camacho (2016), some of the challenges related to velocity include the Introduction of previously stored legacy collection of data and different forms of streamed data from multiple sources. Veracity refers to the level of trust and reliability associated with the data given its source (Assunção et al, 2015). According to Jamil et al (2015), data veracity has four components, namely, trustworthiness, availability, accountability, and authenticity.…”
Section: Literature Review Big Datamentioning
confidence: 99%
“…An in-depth analysis of the benefits of the technology, its relevance, and alignment of deployment of this new technology with the strategic business objectives of the company needs to be conducted. Big data provides the ability to companies to analyze data and have a better understanding of the several key areas, including customer behavior, offer customized services and gain insights into issues to which they had no access before (Assunção et al, 2015). Several instances of failure of new technology initiatives in companies exist which demonstrate that new technologies cannot succeed unless there is a strategic alignment between the business and the technology objectives.…”
Section: Literature Review Big Datamentioning
confidence: 99%
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