Big Data Concepts and Techniques in Data Processing
B. Suvarnamukhi1 , M. Seshashayee2
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-10 , Page no. 712-714, Oct-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i10.712714
Online published on Oct 31, 2018
Copyright © B. Suvarnamukhi, M. Seshashayee . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: B. Suvarnamukhi, M. Seshashayee, “Big Data Concepts and Techniques in Data Processing,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.712-714, 2018.
MLA Style Citation: B. Suvarnamukhi, M. Seshashayee "Big Data Concepts and Techniques in Data Processing." International Journal of Computer Sciences and Engineering 6.10 (2018): 712-714.
APA Style Citation: B. Suvarnamukhi, M. Seshashayee, (2018). Big Data Concepts and Techniques in Data Processing. International Journal of Computer Sciences and Engineering, 6(10), 712-714.
BibTex Style Citation:
@article{Suvarnamukhi_2018,
author = {B. Suvarnamukhi, M. Seshashayee},
title = {Big Data Concepts and Techniques in Data Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {712-714},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3088},
doi = {https://doi.org/10.26438/ijcse/v6i10.712714}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.712714}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3088
TI - Big Data Concepts and Techniques in Data Processing
T2 - International Journal of Computer Sciences and Engineering
AU - B. Suvarnamukhi, M. Seshashayee
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 712-714
IS - 10
VL - 6
SN - 2347-2693
ER -
VIEWS | XML | |
767 | 348 downloads | 294 downloads |
Abstract
In digital world where data grows rapidly because of more use of internet and number of devices like, smart phones, laptops, personal and machines at a very increase rate. Big data is a pool of large amounts of data collected from various sources, such as social working sites like facebook and transactional data like online shopping sites. Big data is stored in distributed architecture framework. Hadoop is an open source framework for creating distributed applications that process huge amount of data. Hadoop keeps them all together under a single roof with their functionalities. Preparing of information can incorporate different activities like highlighting, indexing and searching. It is highly difficult to process in single machine, with huge amount of data. This paper focused on Concepts and Techniques in Big Data processing.
Key-Words / Index Term
Big Data , Distributed architecture,Problem, Hadoop,Distributed Processing
References
[1]. Patel, Aditya B., Manashvi Birla, and Ushma Nair. "Addressing big data problem using Hadoop and Map Reduce." Engineering (NUiCONE), 2012 Nirma University International Conference on. IEEE, 2012.
[2]. A, Katal, Wazid M, and Goudar R.H. "Big data: Issues, challenges, tools and Good practices." Noida: 2013, pp. 404 – 409, 8-10 Aug,2013.
[3]. Amrit pal, Pinki Aggrawal, Kunal Jain, Sanjay Aggrawal “A Performance Analysis of MapReduce Task with Large Number of Files Dataset in Big Data using Hadoop” Forth International Conference on Communication Systems and Network Technologies, 2014.
[4] Kaur, Anureet. "Big Data: A Review of Challenges, Tools and Techniques." International journal of scientific research in science, engineering and technology 2.2 pp. 1090-1093 ,2016.
[5]. Verma, Jai Prakash, et al. "Big data analytics: Challenges and applications for text, audio, video, and social media data." International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) 5.1 2016.
[6]. Kaki, Gowtham, et al. "Safe Memory Regions for Big Data Processing." transfer (successorId, t, outList) pp. 17 -18 ,2016.
[7]. Big Data Black Book: Covers Hadoop 2, MapReduce, Hive, YARN, Pig, R and Data Visualization by DT Editorial Services Paperback ,2016.
[8]. Bhandari, Renu, Vaibhav Hans, and Neelu Jyothi Ahuja. "Big Data Security–Challenges and Recommendations." IJCSE pp. 93-98 ,2016.
[9]. Tanuja, A and D. Swetha Ramana. "Processing and Analyzing Big data using Hadoop." International Journal of Computer Sciences and Engineering 4.4 : pp. 91-94 ,2016.