Cloud data analysis technologies

Authors

DOI:

https://doi.org/10.55056/cte.175

Keywords:

cloud technologies, data analysis

Abstract

According to Gartner, big data processing and cloud computing are among the most significant trends in 2013. Consequently, an important task of higher education is to train a competitive specialist knowledgeable in the relevant technologies.
The course on computer data analysis developed by the authors for the training of specialists of different specialties combines the performance of data analysis tasks in the Excel and SPSS environments. Seeking to expand the use of statistical data analysis software, we turned to SAS's Academic Support Program. This application (SAS OnDemand for Academics) includes a free opportunity for students taking SAS courses and faculty teaching SAS-supported courses to download a SAS client to their computer and perform cloud-based data analysis using SAS servers.

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References

Gartner: Top 10 Strategic Technology Trends For 2013 [Electronic resource]. – Access mode : http://www.forbes.com/sites/ericsavitz/2012/10/23/gartner-top-10-strategic-technology-trends-for-2013/

Adams W. C. Statistical Software for Students: Academic Practices and Employer Expectation Electronic resource] / William C. Adams, Donna Lind Infeld, Carli M. Wulff. – Access mode : http://umdcipe.org/conferences/Classroom/Presentations/APPAM%20Teaching%20Workhop_Adams%20Infeld_pres_11_1109.pdf

Adamenko O. V. Teoretyko-metodychni zasady navchannia studentiv analizu danykh z vykorystanniam kompiutera / O. V. Adamenko // Visn. Luhan. nats. un-tu imeni Tarasa Shevchenka. – 2010. – # 17. – S. 31 – 35. DOI: https://doi.org/10.1177/0307174X1003701104

Panchenko L. F. Kompiuternyi analiz dannykh : ucheb. posobie dlia studentov vyssh. ucheb. zavedenii / L. F. Panchenko, E. V. Adamenko ; Gos. uchrezhd. „Lugan. natc. un-t imeni Tarasa Shevchenko”. – Lugansk : Izd-vo GU „DZ LNU іmenі Tarasa Shevchenka”, 2010. – 188 s.

SAS OnDemand for Academics [Electronic resource]. – Access mode : https://support.sas.com

Published

2013-03-21

Issue

Section

Cloud technologies for informatics learning

How to Cite

Adamenko, O.V. and Panchenko, L.F., 2013. Cloud data analysis technologies. CTE Workshop Proceedings [Online], 1, pp.143–144. Available from: https://doi.org/10.55056/cte.175 [Accessed 15 October 2024].
Received 2012-12-10
Accepted 2012-12-23
Published 2013-03-21

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