Sayantan Halder1
, Dristi Dugar2
, Ira Nath3
, Pranati Rakshit4
, Dharmpal Singh5
Section:Research Paper, Product Type: Journal Paper
Volume-08 ,
Issue-01 , Page no. 10-15, Feb-2020
Online published on Feb 28, 2020
Copyright © Sayantan Halder, Dristi Dugar, Ira Nath, Pranati Rakshit, Dharmpal Singh . 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
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Sayantan Halder, Dristi Dugar, Ira Nath, Pranati Rakshit, Dharmpal Singh, “A New Technique for New York Stock Exchange (NYSE) Data Analysis Using Apache Pig,” International Journal of Computer Sciences and Engineering, Vol.08, Issue.01, pp.10-15, 2020.
MLA Style Citation: Sayantan Halder, Dristi Dugar, Ira Nath, Pranati Rakshit, Dharmpal Singh "A New Technique for New York Stock Exchange (NYSE) Data Analysis Using Apache Pig." International Journal of Computer Sciences and Engineering 08.01 (2020): 10-15.
APA Style Citation: Sayantan Halder, Dristi Dugar, Ira Nath, Pranati Rakshit, Dharmpal Singh, (2020). A New Technique for New York Stock Exchange (NYSE) Data Analysis Using Apache Pig. International Journal of Computer Sciences and Engineering, 08(01), 10-15.
BibTex Style Citation:
@article{Halder_2020,
author = {Sayantan Halder, Dristi Dugar, Ira Nath, Pranati Rakshit, Dharmpal Singh},
title = {A New Technique for New York Stock Exchange (NYSE) Data Analysis Using Apache Pig},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2020},
volume = {08},
Issue = {01},
month = {2},
year = {2020},
issn = {2347-2693},
pages = {10-15},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1391},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1391
TI - A New Technique for New York Stock Exchange (NYSE) Data Analysis Using Apache Pig
T2 - International Journal of Computer Sciences and Engineering
AU - Sayantan Halder, Dristi Dugar, Ira Nath, Pranati Rakshit, Dharmpal Singh
PY - 2020
DA - 2020/02/28
PB - IJCSE, Indore, INDIA
SP - 10-15
IS - 01
VL - 08
SN - 2347-2693
ER -
In the given project entitled NYSE Data Analysis using Big Data (Apache Pig), a database of New York Stock Exchange collected from the open source of New York Stock Exchange daily report where we will analyse the data and produce the required output. Here, the data is referred to the daily stocks of all the companies or industries which is enlisted in the NYSE daily report.
We will use the Apache Pig which is used to analyse large data sets representing them as data flows. It is designed to provide an abstraction over MapReduce, reducing the complexities of writing a MapReduce program. Basically, the MapReduce uses java program to execute and to analyse the dataset and it has to use certain logics to provide the desired output. Apache Pig gives us a better platform to do the work more efficiently and quickly using certain logical lines. Apache Pig is one of the best platforms for the analyzation of Big Data.
analyse, NYSE, Big Data, MapReduce, Apache Pig
[1] http://www.thesojo.net/key-domains-with-opportunities-in-big-data/
[2] http://www.datamation.com/data-center/50-top-open-source-tools-for-big-data-1.htm
[3] Apache: Couchdb (Online; Oct 2015)
[4] MongoDB: Mongodb (Online; Oct 2015)
[5] Neo Technology, I.: Neo4j, the world’s leading graph database.
[6] Pig.apachi.org (online Oct 2015)
[7] https://www.ijraset.com/fileserve.php?FID=3679
[8] https://www.tutorialspoint.com/apache_pig/index.htm
