Integrating Big Data Services Into an Undergraduate MIS Curriculum

Scott Jensen
Additional contact information
Scott Jensen: San Jose State University, San Jose, CA, USA

International Journal of Systems and Service-Oriented Engineering (IJSSOE), 2017, vol. 7, issue 2, 58-73

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.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJSSOE.2017040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssoe0:v:7:y:2017:i:2:p:58-73

Access Statistics for this article

International Journal of Systems and Service-Oriented Engineering (IJSSOE) is currently edited by Wuhui Chen

More articles in International Journal of Systems and Service-Oriented Engineering (IJSSOE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().