XYZ United Cloud Database System: Implementation and Security Report

This report examines the implementation of a cloud database system for the XYZ United Training Centre, focusing on relational database models within a cloud environment. It highlights the benefits of cloud adoption, including scalability and cost reduction, and discusses the use of Database-as-a-Service (DaaS). The report delves into technological advancements, such as the evolution of cloud computing and the integration of SQL and NoSQL databases. Crucially, the report addresses significant security issues, including third-party handling risks, the threat of hacks and data breaches, and middleware vulnerabilities. The report references key academic sources to support its analysis, providing a comprehensive overview of the challenges and considerations involved in cloud database implementation.

Running head: XYZ UNITED CLOUD DATABASE SYSTEM
XYZ United Cloud Database System
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Table of Contents
Implementing the cloud server database....................................................................................2
Relational Database model in Cloud..........................................................................................2
Technological advancements in cloud server databases............................................................3
Security Issues............................................................................................................................3

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Implementing the cloud server database
Cloud databases are moving I into fashion with the advent of time and technology.
Almost every business that have their online existence have switched over to their respective
cloud platforms to preserve their organizational or business information. In this case, The
XYZ United Training Centre database is also recommended to be established on the cloud.
This will not only allow the easy and massive storage of data but will also assist the
organization to maintain a scalable form of database, which will be extremely fruitful for
their business. Some of the cloud server implementation techniques, advantages and security
factors will be discussed in the sections below.
Relational Database model in Cloud
The relational database structure that was designed for the purpose of sufficing to the
needs of the web application of XYZ United training centre database. Relational database
works with tables that hold various data about the entities within a database system. The
collection of many such tables with meaningful relationship between them forms a database.
The cloud servers are mostly used in the modern days with an aim to preserve NoSQL or
non-relational database models, however, there are several renowned cloud database service
providers who also allow the use or renting of relational SQL database services on their cloud
instances (Bear, Lamb & Tran, 2012). Companies like Microsoft, Amazon and Google offer
the best of cloud hosting services with database. Hosting a SQL relational database on the
cloud is a familiar approach and it provides a popular format for the purpose of data
analytics. Moreover, it also accelerates the business participles by leveraging the cloud to
lower the cost and also enhance scalability, speed and data retrieval accuracy. Clouds not
only provide database storage services, but they also provide business organizations with
DaaS or Database-as-a-Service, through which they offer database servicing facilities. In this

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way, XYZ can rely on the Third party cloud service providers to manage the administrator
end tasks of their web platform. They also allow other utilities like back-up and maintenance
services.
Technological advancements in cloud server databases
Cloud computing has evolved through the ages. Database management system has
been implemented into cloud computing technologies, long time back, and since then every
effort has been made to gradually enhance the storage and retrieval abilities of cloud database
systems. Database services have come up as Platform-as-a-Service or PaaS, within the cloud
delivery model (Gelogo & Lee, 2012). Certain cloud platforms like AWS (Amazon Web
Services) and Microsoft Azure also allows the bridging of SQL and NoSQL databases
(Roijackers & Fletcher, 2012). This makes it easier for the data to be stored and migrated at
any point of time, without having to be concerned about integrity issues.
Security Issues
Cloud computing has been criticized for its security flaws all throughout the ages.
Researchers and clients have raised multiple ethical and other security related questions based
on cloud services. Some of the most discussed cloud implementation security issues are as
follows:
1. Third Party handling: In cloud implementation, data needs to be levied over to the
control of the third party service provider. The organization must research thoroughly
enough before hiring the cloud services from a third party organization otherwise data
ownership rights are often violated in such cases. Unprofessional and notorious third
party service providers may leak organizational data that has been hosted on their
cloud platform.

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2. Hacks and data breaches: Cyber criminals are infamously known for breaking into
the cloud servers that are weakly protected and they steal or leak sensitive
information. This is a serious issue that cloud computing has been facing right from
its inception. They can also breach into software systems that have been hosted on
cloud servers using the stolen data. Through this, they can login into user accounts
and make unapproved changes in their profile (Zissis & Lekkas, 2012).
3. Middleware muddles: Planting middleware is the technology of breaking into a
distributed and taking control of the whole. This involves the unauthorized access or
modification of data on a large scale. This may not only be cemented to one particular
organization but may intern harm all organization who have their data uploaded on
the particular cloud server that has been breached.

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References
Bear, C., Lamb, A., & Tran, N. (2012, September). The vertica database: SQL RDBMS for
managing big data. In Proceedings of the 2012 workshop on Management of big data
systems (pp. 37-38). ACM.
Gelogo, Y. E., & Lee, S. (2012). Database management system as a cloud
service. International Journal of Future Generation Communication and
Networking, 5(2), 71-76.
Roijackers, J., & Fletcher, G. (2012). Bridging sql and nosql. Master's thesis, Eindhoven
University of Technology.
Zissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future
Generation computer systems, 28(3), 583-592.