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Shah, Krima
- Fast Analysis & Storage of Big Data Using HDF5
Abstract Views :161 |
PDF Views:0
Authors
Source
International Journal of Innovative Research and Development, Vol 2, No 13 (2013), Pagination:Abstract
Data is growing at a tremendous rate with an overall increase in the digital universe with petabytes of data flowing from different sources. The simplest explanation of this big data phenomenon is that, on one hand it’s about large amounts of data, while on the other hand it is the difficulty to analyze these large data sets. The analytics require some specific data to be retrieved. This usually involves methods with large time and space complexities. In this paper, we describe the HDF5 data model and some of its performance enhancing capabilities that minimize the complexities involved in large data handling.
Keywords
Big Data, HDF5, AnalyticsFull Text
- Analysis of Preference of Students for Industrial Visit
Abstract Views :956 |
PDF Views:344
Authors
Affiliations
1 Bharati Vidyapeeth’s Institute of Management Studies and Research, Sector 8, C.B.D.Belapur, Navi Mumbai-400614, IN
1 Bharati Vidyapeeth’s Institute of Management Studies and Research, Sector 8, C.B.D.Belapur, Navi Mumbai-400614, IN
Source
AADYA -National Journal of Management and Technology, Vol 8, No 0 (2018), Pagination: 77-82Abstract
Industrial visit is one of the most important requirement for educational institutions specially Management Institutes. Through this research paper, we have analyzed the preference of students for Industrial Visit (IV) according to a particular age group and specialization. For this we have taken sample of 40 Students of Bharati Vidyapeeth's Institute Management Studies and Research. Further, the effect of age group and specialization of students were evaluated using chi-square test and it was found that there is no association of age group and preference of Industrial Visit (IV) but on the other hand, there is a strong association between the specialization opted by students and preference of Industrial Visit (IV). This shows that the output of students is not affected by age but by their specialization.Keywords
Industrial Visit, Specialization, Exposure.Full Text
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