Big Data, Technologies and Trends A Study

Authors(2) :-Jayamma Rodda, R. VijayaKumari

Big Data is the most droned terms among Scholars and trade. Sprouting Big Data applications has become gradually more significant in the last few years. In actuality, quiet a few organizations from dissimilar sectors depend all the time more on knowledge extracted from giant volume of data. The different types of users produce massive quantity of data which is not alike in features. The term of big data is referring big data set coming from various sources in the form of structure and non structured data. They need to cater to find out the useful information from the massive, noisy data. However, in Big Data context, traditional data techniques and platforms are less efficient. They show a slow responsiveness and lack of scalability, performance and accuracy. Big Data aims to help to select and adopt the right combination of different Big Data technologies according to their technological needs and specific applications' requirements. The objective of this paper is to provide a simple, comprehensive and brief introduction of Big Data and its technologies. This paper may not cover every dimension of Big Data only few of its essential aspects are covered.

Authors and Affiliations

Jayamma Rodda
Assistant Professor, Department of Master of Computer Science, KBN College, Vijayawada, Andhra Pradesh, India
R. VijayaKumari
Assistant Professor, Department of Computer Science and Applications, Krishna University, Machilipatnam, Andhra Pradesh, India

Big Data, Hadoop, HDFS, Map Reduce, HD Insight, No SQL, Poly base, Presto, PIG, HIVE, and R

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2018
Date of Publication : 2018-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 400-414
Manuscript Number : CSEIT183793
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jayamma Rodda, R. VijayaKumari, "Big Data, Technologies and Trends A Study", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 7, pp.400-414, September-October-2018.
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