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Cloud Analytics and its Implementation Challenges

G. Kalpana1 , NV. Chaitanya2

  1. MCA,CBIT, Hyderabad, India.
  2. MCA,CBIT, Hyderabad, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-4 , Page no. 137-142, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i4.137142

Online published on Apr 30, 2018

Copyright © G. Kalpana, NV. Chaitanya . 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.

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IEEE Style Citation: G. Kalpana, NV. Chaitanya, “Cloud Analytics and its Implementation Challenges,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.4, pp.137-142, 2018.

MLA Style Citation: G. Kalpana, NV. Chaitanya "Cloud Analytics and its Implementation Challenges." International Journal of Computer Sciences and Engineering 6.4 (2018): 137-142.

APA Style Citation: G. Kalpana, NV. Chaitanya, (2018). Cloud Analytics and its Implementation Challenges. International Journal of Computer Sciences and Engineering, 6(4), 137-142.

BibTex Style Citation:
@article{Kalpana_2018,
author = {G. Kalpana, NV. Chaitanya},
title = {Cloud Analytics and its Implementation Challenges},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {4},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {137-142},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1858},
doi = {https://doi.org/10.26438/ijcse/v6i4.137142}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.137142}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1858
TI - Cloud Analytics and its Implementation Challenges
T2 - International Journal of Computer Sciences and Engineering
AU - G. Kalpana, NV. Chaitanya
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 137-142
IS - 4
VL - 6
SN - 2347-2693
ER -

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Abstract

Cloud computing is “a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service to external customers using Internet technologies.”. Cloud computing is capable of enhancing business productivity and agility while allowing for greater efficiency and reducing costs. It is also possible to migrate big data to cloud. Increasingly, the focus of organizations has been on the ways that cloud will power data analytics. Cloud analytics enable organizations to move business intelligence, data warehouse operations and Online Analytical Processing (OLAP) to cloud. Data management, security, integration, compliance issues, poor software architecture and design are some of the issues that motivates with cloud inclusion for analytics solution. This paper aims in outlining the data analytics, cloud computing, cloud Analytics, and its Architecture, applications of cloud analytics and implementation challenges along with suggested solutions.

Key-Words / Index Term

Data analytics, cloud computing, cloud analytics.

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