IEEE Style Citation: P. Sunanda, “A Preface to Big Data,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.257-262, 2019.
MLA Style Citation: P. Sunanda "A Preface to Big Data." International Journal of Computer Sciences and Engineering 7.5 (2019): 257-262.
APA Style Citation: P. Sunanda, (2019). A Preface to Big Data. International Journal of Computer Sciences and Engineering, 7(5), 257-262.
BibTex Style Citation:
@article{Sunanda_2019,
author = {P. Sunanda},
title = {A Preface to Big Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {257-262},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4233},
doi = {https://doi.org/10.26438/ijcse/v7i5.257262}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.257262}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4233
TI - A Preface to Big Data
T2 - International Journal of Computer Sciences and Engineering
AU - P. Sunanda
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 257-262
IS - 5
VL - 7
SN - 2347-2693
ER -
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Abstract
A collection of facts, such as values or measurements is known to be the data. Whatever the data is present it is to be stored for future reference. To store data we need the use of databases like Oracle etc.; these come under traditional databases where the structured data i.e., data that resides in a fixed field within a record or file. The problem comes in storing other form of data i.e., unstructured data e.g., photos and graphic images, videos, streaming instrument data, web pages, pdf files, PowerPoint presentations, emails, blog entries, wikis and word processing documents. This paper presents a survey on the technology “Big Data” that is used to store unstructured data.
Key-Words / Index Term
big data characteristics, technologies, challenges, cloud computing
References
[1] A Survey of Clustering Algorithms for Big Data: Taxonomy & Empirical Analysis A. Fahd, N. Alcatraz, Z. Tari, Member, IEEE , A. Alamri, I. Khalil A. Zomaya, Fellow, IEEE, S. Foufou, and A. Bouras
[2] A PDF file on Big Data: Uses and Limitations by Nathaniel Schenker Associate Director for Research and Methodology National Center for Health Statistics Centers for Disease Control and Prevention Presentation for discussion at the meeting of the NCHS Board of Scientific Counselors September 19, 2013
[3] Global investment themes: telecoms, media and technology Issue No. 52 The beginner’s guide to Big Data.pdf
[4] A PDF file on a very short history on big data at www.forbes.com [5]http://wikibon.org/wiki/v/Big_Data:_Hadoop,_Business_Analytics_and_Beyond#A_Big_Data_Manifesto_from_the_Wikibon_Community
[6] A PDF file on 10-emerging-technologies-for-big-data/
[7]http://www.qubole.com/big-data-cloud-database-computing/
[8] A PDF file on essential characteristics of cloud computing
http://the cloudtutorial.com/cloudtypes.html
[9] http://the cloudtutorial.com/cloudtypes.html
[10] http://en.wikipedia.org/wiki/Cloud_computing
[11] Challenges and Opportunities with Big Data -A community white paper developed by leading researchers across the United States
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