2015
DOI: 10.15302/j-fem-2015042
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Challenges to Engineering Management in the Big Data Era

Abstract: This paper presents a review of the challenges to engineering management in the Big Data Era as well as the Big Data applications. First, it outlines the definitions of big data, data science and intelligent knowledge and the history of big data. Second, the paper reviews the academic activities about big data in China. Then, it elaborates a number of challenging big data problems, including transforming semi-structured and non-structured data into "structured format" and explores the relationship of data hete… Show more

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Cited by 6 publications
(1 citation statement)
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“…For example, the sustainability theme is suggested by both ABET and ASEM as a part of EM graduate educational programs (Radhakrishnan and Pettit, 2019). Or with the 4 th Industrial Revolution and the big data era, EMers need to be well-trained for new roles and to leverage intelligent techniques to solve complex problems (Markl and Lackner, 2019) (Shi, 2016) (Kahraman and Çevik Onar, 2015). The report of Engineering 2045 also mentions that the industry emphasizes the importance of the ability to work within nextgeneration industries and applications, such as immersive technologies, AI, or automation (Lawrence, 2020).…”
Section: Educational Institutionmentioning
confidence: 99%
“…For example, the sustainability theme is suggested by both ABET and ASEM as a part of EM graduate educational programs (Radhakrishnan and Pettit, 2019). Or with the 4 th Industrial Revolution and the big data era, EMers need to be well-trained for new roles and to leverage intelligent techniques to solve complex problems (Markl and Lackner, 2019) (Shi, 2016) (Kahraman and Çevik Onar, 2015). The report of Engineering 2045 also mentions that the industry emphasizes the importance of the ability to work within nextgeneration industries and applications, such as immersive technologies, AI, or automation (Lawrence, 2020).…”
Section: Educational Institutionmentioning
confidence: 99%