An Integrated Way for Teaching Hadoop & Big Data Analytics Course
E. Laxmi Lydia1, N. Sharmili2, T. V. Madhusudhanarao3, Madhu BabuChevuru4, K. Vijaya Kumar5 

1Dr. E Laxmi Lydia, Associative Professor in CSE, Department, Vignans Institute of Information Technology, Visakhapatnam.
2Dr.N.Sharmili, Associate Professor in CSE Department, Gayatri Vidya Parishad College of Engineering for Women, Viskahpatnam, Andhra Pradesh, India. Dr. T 3V Madhusudhanarao, Professor in CSE Department, Vignans Institute of Information Technology, Visakhapatnam.
4Madhu BabuChevuru, Asst. Professor, Department of Computer Science Engineering, VFSTR deemed to be University.
5K.Vijaya Kumar, Associate Professor, Department of Computer Science Engineering, Vignan’s Institute of Information Technology for Women, Andhra Pradesh, India.

Manuscript received on 03 March 2019 | Revised Manuscript received on 08 March 2019 | Manuscript published on 30 July 2019 | PP: 1159-1163 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1739078219/19©BEIESP | DOI: 10.35940/ijrte.B1739.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Hadoop & Big Data Analytics course has occupied a ubiquitous role in present software technologies. Educational institutes are fond of this course as it’s been trending course most of the placements in software companies are based on. As per the traditional teaching mechanisms, the educational systems are not much up- to- mark where the students are not assisted with the course resulting in atrocious placements. Therefore to enhance this placements, institutions has to adopt a new integrated teaching- learning proceedings which help in drastic change of academic results discussed in this paper. Here the result analysis of course attainments are compared to show the eye-catching improvements as occurred in VIIT College.
Keywords: Hadoop, Big Data, Analytics, Technologies, Academic, Attainments

Scope of the Article: Big Data