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Data mitigation model to establish an emergency recovery solution with an onsite oracle system

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Mohammed Sadhik Shaik *

Sr. Software web developer Engineer, Computer science, Germania Insurance, Melissa, Texas.

Research Article
 

World Journal of Advanced Research and Reviews, 2021, 10(02), 256-262
Article DOI: 10.30574/wjarr.2021.10.2.0182
DOI url: https://doi.org/10.30574/wjarr.2021.10.2.0182

Received on 12 April 2021; revised on 16 May 2021; accepted on 19 May 2021

AWS, or Amazon Web Services, is a cloud computing platform that is adaptable, affordable, and simple to use. The Amazon cloud is a popular location for RDBMSs, or relational database management systems. Oracle Database can be operated on Relational Database Service (Amazon RDS), thus it's important to know how to set it up on AW. With this guide, you will learn all you need to know to run Oracle Database on Amazon RDS, including how to deploy and manage your database, how to handle scalability, performance, backup and recovery, high availability, and security. You will also learn about the benefits of each technique. In this paper, proposed the DM-DATA Model to establish an Emergency Recovery solution with an onsite Oracle system and AWS and to migrate your existing Oracle database to AWS. We provide a strategy for designing an architecture that protects you against hardware failures, datacenter issues, and disasters by using replication technologies stock market data. In the performance analysis, there are several alternatives are choose to optimize the performance of the propose infrastructure with Oracle database based on certain metrics like, disk I/O management, sizing, database replicas, etc.

RDS; Amazon; Data Mitigation; Web Services; Data Replication; Oracle

https://wjarr.co.in/sites/default/files/fulltext_pdf/WJARR-2021-0182.pdf

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Mohammed Sadhik Shaik. Data mitigation model to establish an emergency recovery solution with an onsite oracle system. World Journal of Advanced Research and Reviews, 2021, 10(02), 256-262. Article DOI: https://doi.org/10.30574/wjarr.2021.10.2.0182

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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