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Author Xhemal Zenuni
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Make a suggestion Refine your searchAnalysis and comparison of NoSQL Databases to Relational Databases / Raif Deari
Title : Analysis and comparison of NoSQL Databases to Relational Databases : master studies - second cycle Material Type: printed text Authors: Raif Deari, Dissertant ; Xhemal Zenuni, Thesis advisor Publisher: Tetovë : Fakulteti i Shkencave dhe Teknologjive Bashkëkohore - UEJL Publication Date: 2018 Pagination: 68 p. Layout: ill. Size: 30 cm General note: Includes bibliographical references
Includes bibliographical footnotes
Includes appendixLanguages : English (eng) Original Language : English (eng) Abstract: Abstract
The aim of this master thesis is to make a comprehensive analysis and comparison between NoSQL and relational databases. We review and evaluate data storage and data management principles of each type of concerned databases. In addition, we evaluate the performance of CRUD operations using different scenarios on MongoDB and MySQL as representatives of two respected data models. The results give insights to advantages and disadvantages of each database model.Link for e-copy: https://repository.seeu.edu.mk/sites/thesis/ThesisSharedDocs/MA_120968.pdf Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17913 Copies
Barcode Call number Media type Location Section Status M9702-000014 M9702-000014 Deari, R. 2018 General Collection Thesis Repository Master Not for loan
Title : Big Data Analysis and its Impact on Bussines Decisions : studime të Magjistraturës - cikli i dytë Material Type: printed text Authors: Enis Limani, Dissertant ; Xhemal Zenuni, Thesis advisor Publisher: Tetovë : Fakulteti i Shkencave dhe Teknologjive Bashkëkohore - UEJL Publication Date: 2019 Pagination: 56 p. Layout: ill. Size: 30 cm General note: Includes bibliographical references
Includes bibliographical footnotes
Includes indexLanguages : English (eng) Original Language : English (eng) Abstract: Abstract
The advancements of technology has proliferated large amounts of data which are easily at disposal to individuals and organizations. If properly analyzed, these large amounts of data can be an added value and can affect the performance of decision makers in business processes. This thesis analyzes the current status how companies use Big Data analytics in business processes from two perspectives. First, it analyses the challenges the companies face in utilization of Big Data analytics to benefit in their business processes. Second, it analyses to what extend is used Big Data analytics to enable revenue growth and to the quality of business processes in companies, thus impacting the decision making and the growth of the company.Link for e-copy: https://repository.seeu.edu.mk/sites/thesis/ThesisSharedDocs/MA_121477.pdf Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=18696 Copies
Barcode Call number Media type Location Section Status M9702-000070 M9702-000070 Limani, E. 2019 General Collection Thesis Repository Master Not for loan
Title : Security of data in Cloud : studime të Magjistraturës - cikli i dytë Material Type: printed text Authors: Berat Rrecaj, Dissertant ; Xhemal Zenuni, Thesis advisor Publisher: Tetovë : Fakulteti i Shkencave dhe Teknologjive Bashkëkohore - UEJL Publication Date: 2016 Pagination: 56 p. Layout: ill. Size: 30 cm General note: Includes bibliographical references
Includes bibliographical footnotes
Includes appendixLanguages : English (eng) Original Language : English (eng) Abstract: ABSTRACT
Cloud is a new computing model that offers huge storage capacities, computing power and services to individuals and businesses. Based on the pay - per - use principle, individuals or enterprises can have quick access to specific resources that fulfill their requirements. Cloud computing offers potential benefits like cost saving and improved business outcomes; however, a number of security threats and technical challenges need to be considered. Some of major issues include, among others, user privacy and data security, availability, performance issues, scalability, recovery in case of disaster, data lock-in, energy-efficiency and progratnmability. It is very important that cloud consumers feel confident that their data and business functionality is not only available, but also not jeopardized in any way possible. Cloud providers need to implement techniques and security policies that address cloud computing security considerations, like protecting data from unauthorized access and how to handle security incidents. In the present thesis, we have identified and classified, based on research and literature review, the cloud security issues into the following five categories:
• (Cl) The Security Standards category, which deals with regulatory authorities and governing bodies that define security policies to ensure secure working environment in the clouds. It includes SLA, auditing and other agreements between clients and providers.
• (C2) The Network category, which refers to the medium used to connect to the cloud for users to perform the desired services. It includes browsers, network connections and information exchange through registration.
• (C3) The Access Control category, which refers to how users access the services in the
cloud and includes identification, authentication and authorization issues.
• (C4) The Cloud Infrastructure category includes security issues within SaaS, PaaS and
laaS.
• (C5) The Data category covers data integrity and confidentiality issues.
Following this, the same security criteria have been applied for comparison of today major cloud computing offerings, namely Amazon Web Services (AWS), Google cloud platform and Microsoft Azure. Our findings show that the first three cloud providers (Amazon Web Services, Google and Microsoft Azure) are following most of the security standards available. Secondly, on network layer, all the providers are using the same security mechanisms, including ACL, VPN, authentication, etc. In addition, Microsoft Azure provides private Fiber to the clients, which is a very safe connection between a provider and a client, as the data travel directly between the parties. Third, related to access control, all the providers use the same authentication mechanisms. Fourthly, at infrastructure level, the selected providers use similar security policies and techniques, such as Firewalls, monitoring tools, logging, etc. Next, at data level, providers use the data redundancy, physical protection, and so on. Finally, we have conducted simulations and some experimental work on some security mechanisms, using Graphical Network Simulator (GNS3). GNS3 offers emulation of complex networks and systems, such as VMWare, and this software was used to emulate the security mechanisms that are used in real cloud architectures: firewalls, VMware, Access Command Lists (ACL), Encryption, Authentication, Virtual Private Networks (VPN), multi-tenancy. The results derived from the experiment and the use case scenarios developed show that the current and employed security mechanisms and policies provide high-level security protection from most of the known attacks.Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=18225 Copies
Barcode Call number Media type Location Section Status M9702-000039 M9702-000039 Rrecaj, B. 2016 General Collection Thesis Repository Master Not for loan
