Design Cycle and Deployment Considerations towards Efficient Implementation of Big Data Analytics in the Cloud

Authors

  • Nagaraju Ankathi  Software Developer, Vintech Solutions, Inc, MO, USA
  • Dr. Kameshwar Rao  Professor, Sanskruthi Engineering College, AP, India

Keywords:

Data Mining, Big Data, Cloud Computing

Abstract

Big Data is an information examination procedure that is made possible through the latest advances in details and communication technology. However, huge data examination requires an enormous volume of computing resources, which makes cultivating costs of major data technology not affordable for many small to medium-sized businesses. In this paper, we will detail the benefits as well as the barriers associated with setting up major data analytics through cloud computing. We recommend that cloud computing can help to meet the storage and computer needs of big data analytics. This paper provides a comprehensive overview of cloud computing and the deployment of significant data analytics in the cloud.

References

  1. Dan, S as well as Roger, C. (2010 ). Personal privacy and buyer risks in cloud computing, Computer Law as well as Security Review, Vol 26, pp: 391-397.
  2. Jaseena K.U and David J.M. ISSUES, CHALLENGES, AND SOLUTIONS: BIG DATA MINING, Natarajan Meghanathan et cetera (Eds): NeTCoM, CSIT, GRAPH-HOC, SPTM-- 2014, pp. 131-- 140.
  3. Jayasree, M. (2013). Data Mining: Exploring Big Data Using Hadoop as well as MapReduce, International Journal of Engineering Science Research, IJESR, Volume 04, Issue 01.
  4. Mell, P, as well as Grance, T. (2011 ). The NIST Definition of Cloud Computing, National Institute of Standards and Technology Special Publication.
  5. Peddyreddy. Swathi, “Approaches And Objectives towards Financial Management”, International Journal of Advanced in Management, Technology and Engineering Sciences, Volume IV, Issue I, 2014
  6. Peddyreddy. Swathi, “An Overview On The Types Of Capitalization”, International Journal of Advanced in Management, Technology and Engineering Sciences, Volume VI, Issue I, 2016
  7. Peddyreddy. Swathi, “Architecture And Editions of Sql Server”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Volume 2, Issue 4, May-June-2017
  8. Peddyreddy. Swathi, “Scope of Financial Management and Functions of Finance”, International Journal of Advanced in Management, Technology and Engineering Sciences, Volume III, Issue 1, 2013
  9. Peddyreddy. Swathi, “A Study On Security Towards Sql Server Database”, JASC: Journal of Applied Science and Computation, Volume V, Issue II, February 2018
  10. Peddyreddy. Swathi, “A Comprehensive Review on The Sources of Finance”, International Journal of Scientific Research in Science, Engineering and Technology, Volume 1, Issue 4, July-August 2015
  11. Peddyreddy. Swathi, “A Study on SQL - RDBMS Concepts And Database Normalization”, JASC: Journal of Applied Science and Computations, Volume VII, Issue VIII, August 2020
  12. Peddyreddy. Swathi, “A Comprehensive Review on SQL - RDBMS Databases”, Journal of Emerging Technologies and Innovative Research, Volume 6, Issue 3, March 2019.
  13. Peddyreddy. Swathi, “An Overview on the techniques of Financial Statement Analysis”, Journal of Emerging Technologies and Innovative Research, Volume 1, Issue 6, November 2014
  14. Peddyreddy. Swathi, “COMPLEXITY OF THE DBMS ENVIRONMENT AND REPUTATION OF THE DBMS VENDOR”, Journal of Interdisciplinary Cycle Research, 13 (3), 2054-2058
  15. Peddyreddy. Swathi, “Implementation of AI-Driven Applications towards Cybersecurity”, JASC: Journal of Applied Science and Computations, 7(8), 127-131
  16. Peddyreddy. Swathi. (2022). Implications For Research In Artificial Intelligence. Journal of Electronics,Computer Networking and Applied Mathematics(JECNAM) ISSN : 2799-1156, 2(02), 25–28. Retrieved from http://journal.hmjournals.com/index.php/JECNAM/article/view/447
  17. Peddyreddy. Swathi. (2022). A Study On The Restrictions Of Deep Learning. Journal of Artificial Intelligence,Machine Learning and Neural Network (JAIMLNN) ISSN: 2799-1172, 2(02), 57–61. Retrieved from http://journal.hmjournals.com/index.php/JAIMLNN/article/view/444
  18. Peddyreddy. Swathi. (2022). Industry Applications of Augmented Reality and Virtual Reality. Journal of Environmental Impact and Management Policy(JEIMP) ISSN:2799-113X, 2(02), 7–11. Retrieved from http://journal.hmjournals.com/index.php/JEIMP/article/view/453
  19. Keerthi Vuppula, “Access Control with Energy Restrictions for IoT Nodes Power”, “International Journal on Applications in Engineering and Technology”, Volume 4, Issue 3: September 2018, pp 1 – 6
  20. Keerthi Vuppula, “Method for Recognizing Palmprints Using Neighboring Direction Indicator”, “International Journal of Scientific Research in Engineering and Management (IJSREM)”, Volume 05, Issue: 11, November - 2021
  21. Keerthi Vuppula, “Smart Door Unlock System Using Face Recognition and machine learning”, “JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE”, Volume-2, Issue-3 (Mar-2019) 
  22. Keerthi Vuppula, Dr. Narsimha Reddy, “Computer-Aided Diagnosis for Diseases using Machine Learning”, “International Journal of Scientific Research in Engineering and Management (IJSREM)”, Volume 04, Issue 12, November - 2020
  23. Keerthi Vuppula, Dr. K. Mounika Reddy, “Design of Smart Agriculture System Using Internet of things”, “International Journal on Applications in Engineering and Technology”, Volume 1, Issue 11, November 2015, pp 7 – 12
  24. Keerthi Vuppula, “An advanced machine learning algorithm for fraud financial transaction detection”, “Journal For Innovative Development in Pharmaceutical and Technical Science (JIDPTS)”, Volume 4, Issue 9, Sep 2021
  25. Keerthi Vuppula, Dr. Narsimha Reddy, “Analysis on Supervised machine learning based Flower Classification”, “INTERNATIONAL JOURNAL FOR RESEARCH & DEVELOPMENT IN TECHNOLOGY”, Volume-15, Issue-2 (Feb-21)
  26. Keerthi Vuppula, Dr. Narsimha Reddy, “Facial emotion detection using machine learning algorithm K-nearest neighbor”, “INTERNATIONAL JOURNAL FOR RESEARCH & DEVELOPMENT IN TECHNOLOGY”, Volume-13, Issue-2(Feb-20)
  27. Keerthi Vuppula, “Internet of things based Smart Watch for Health Monitoring of Elderly People”, “International Journal on Applications in Information and Communication Engineering”, Volume 5, Issue 1, August 2019 , pp 82 –88
  28. Keerthi Vuppula, “Design of Internet of things-based human-computer interface system”, “International Journal on Applications in Basic and Applied Sciences”, Volume 1, Issue 5, December 2013, pp 18-23.

International Journal of Scientific Research in Science and Technology

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Published

2016-01-30

Issue

Volume 2, Issue 1, January-February-2016

Section

Research Articles

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How to Cite

[1]
Nagaraju Ankathi, Dr. Kameshwar Rao "Design Cycle and Deployment Considerations towards Efficient Implementation of Big Data Analytics in the Cloud" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 2, Issue 1, pp.273-281, January-February-2016.