Perspectives on a Big Data Application: What Database Engineers and IT Students Need to Know

Authors

  • E. Erturk School of Computing, Eastern Institute of Technology, New Zealand
  • K. Jyoti School of Computing, Eastern Institute of Technology, New Zealand
Volume: 5 | Issue: 5 | Pages: 850-853 | October 2015 | https://doi.org/10.48084/etasr.592

Abstract

Cloud Computing and Big Data are important and related current trends in the world of information technology. They will have significant impact on the curricula of computer engineering and information systems at universities and higher education institutions. Learning about big data is useful for both working database professionals and students, in accordance with the increase in jobs requiring these skills. It is also important to address a broad gamut of database engineering skills, i.e. database design, installation, and operation. Therefore the authors have investigated MongoDB, a popular application, both from the perspective of industry retraining for database specialists and for teaching. This paper demonstrates some practical activities that can be done by students at the Eastern Institute of Technology New Zealand. In addition to testing and preparing new content for future students, this paper contributes to the very recent and emerging academic literature in this area. This paper concludes with general recommendations for IT educators, database engineers, and other IT professionals.

Keywords:

information technology, database design, big data, MongoDB

Downloads

Download data is not yet available.

References

V. Beal, “Cloud Cmputing (the Cloud)”, http://www.webopedia.com/TERM/C/cloud_computing.html

G. A. Tarnavsky, E. V. Vorozhtsov, “Cloud Computing in Science and Engineering and the “SciShop.ru” Computer Simulation Center”, Engineering, Technology & Applied Science Research, Vol. 1, No. 6, pp. 133-138, 2011 DOI: https://doi.org/10.48084/etasr.87

V. Inukollu , S. Arsi1, S. Ravuri, “High Level View of Cloud Security : Issues and Solutions”, Fourth International Conference on Computer Science, Engineering and Applications, Chennai, India, pp. 51-61, 2014 DOI: https://doi.org/10.5121/csit.2014.4305

A. Shields, “Why Traditional Database Systems Fail to Support Big Data”, http://marketrealist.com/2014/07/traditional-database-systems-fail-support-big-data/

Solid IT, “DB-Engines Ranking of Document Stores”, http://db-engines.com/en/ranking/document+store

S. Khan, V. Mane, “SQL Support over MongoDB using Metadata”, International Journal of Scientific and Research Publications, Vol. 3, No. 10, pp. 1-5, 2013

J. Roy, “MongoDB: Characteristics and future”, http://www.mongodbspain.com/en/2014/08/17/mongodb-characteristics-future

J. Heyens, K. Greshake, E. Petryka, “MongoDB Databases at Risk: Several Thousand MongoDBs without Access Control on the Internet”, Saarland University Center for IT Security, Privacy, and Accountability, https://cispa.saarland/wp-content/uploads/2015/02/MongoDB_documentation.pdf

E. Erturk, “An Intelligent and Object-oriented Blueprint for a Mobile Learning Institute Information System”, International Journal for Infonomics, Vol. 6, No. 3/4, pp. 736-743, 2013 DOI: https://doi.org/10.20533/iji.1742.4712.2013.0085

Downloads

How to Cite

[1]
E. Erturk and K. Jyoti, “Perspectives on a Big Data Application: What Database Engineers and IT Students Need to Know”, Eng. Technol. Appl. Sci. Res., vol. 5, no. 5, pp. 850–853, Oct. 2015.

Metrics

Abstract Views: 476
PDF Downloads: 255

Metrics Information
Bookmark and Share

Most read articles by the same author(s)