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Integrating Big Data Services Into an Undergraduate MIS Curriculum

Integrating Big Data Services Into an Undergraduate MIS Curriculum

Scott Jensen
Copyright: © 2017 |Volume: 7 |Issue: 2 |Pages: 16
ISSN: 1947-3052|EISSN: 1947-3060|EISBN13: 9781522513728|DOI: 10.4018/IJSSOE.2017040104
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MLA

Jensen, Scott. "Integrating Big Data Services Into an Undergraduate MIS Curriculum." IJSSOE vol.7, no.2 2017: pp.58-73. http://doi.org/10.4018/IJSSOE.2017040104

APA

Jensen, S. (2017). Integrating Big Data Services Into an Undergraduate MIS Curriculum. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 7(2), 58-73. http://doi.org/10.4018/IJSSOE.2017040104

Chicago

Jensen, Scott. "Integrating Big Data Services Into an Undergraduate MIS Curriculum," International Journal of Systems and Service-Oriented Engineering (IJSSOE) 7, no.2: 58-73. http://doi.org/10.4018/IJSSOE.2017040104

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Abstract

There is an insatiable demand in industry for data scientists, and graduate programs and certificates are gearing up to meet this demand. However, there is agreement in the industry that 80% of a data scientist's work consists of the transformation and profiling aspects of wrangling Big Data; work that may not require an advanced degree. In this paper, the authors present hands-on exercises to introduce Big Data to undergraduate MIS students using the CoNVO Framework and Big Data tools to scope a data problem and then wrangle the data to answer questions using a real-world dataset. This can provide undergraduates with a single course introduction to an important aspect of data science.

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