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Design of Graph Database Based on Relational Database
Schwertschal, Jiří ; Klusák, Aleš (referee) ; Luhan, Jan (advisor)
The content of my bachelor thesis is the design of converting SQL database meant for reservating systém to the graph database. The thesis is divided into theoretical part, where I provided information needed to create the design. In the second part I made analysis of the current situation. And in the end in the last part is designed solution.
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A cryptographic module for hardware-constrained device
Kolář, Ondřej ; Cíbik, Peter (referee) ; Smékal, David (advisor)
This bachelor’s thesis focuses on the description and implementation of the AES-128 cipher using the VHDL language. It discusses the fundamentals of encryption, FPGA architecture, and VHDL. It compares FPGA and ASIC chips. Furthermore, it describes the principles of encryption and decryption of the AES-128 cipher and analyzes its individual blocks in the process and the peripherals used for user interaction. The practical part describes the actual design creation and verifies its functionality. The aim of the thesis is to describe the AES-128 cipher and verify the functionality of the design through simulation, as well as to activate and ensure the functionality and coherence of the individual peripherals
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Application of data mining methods in a graph database
FEKETE, Alexandra
This bachelor thesis deals with the area of NoSQL databases with a focus on graph databases and the application of data mining methods. The main aim is to install a specific NoSQL graph database Neo4j together with the characterization of its key features and activities and to use data mining methods above the graph database. Methods of data mining are performed and analyzed the most typical examples of data obtained from the Internet. The used query language is Cypher. The last part of this thesis is an analysis of selected data from Neo4j Sandbox with a focus on the Panama Papers in the Neo4j database. To present this example, tools as Neo4j Community Server and Cypher language are used. The results of this analysis are then evaluated for their possible further use.
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Design of Graph Database Based on Relational Database
Schwertschal, Jiří ; Klusák, Aleš (referee) ; Luhan, Jan (advisor)
The content of my bachelor thesis is the design of converting SQL database meant for reservating systém to the graph database. The thesis is divided into theoretical part, where I provided information needed to create the design. In the second part I made analysis of the current situation. And in the end in the last part is designed solution.
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Introduction and use of graph databases
Hřivna, Jan ; Palovská, Helena (advisor) ; Tomášková, Barbora (referee)
The aim of this Bachelor thesis is to introduce the conception and uses of graph databases. The thesis is split into a theoretical and a practical part. The theoretical part describes main principles of graph databases with focus on providing exact and detailed explanations. The practical part presents practical operations and particular solutions for the queries run in the Neo4j graph database system by Cypher query lanugage. Information was collected from reliable and published primary and secondary sources. Furthermore in the practical part, the actual Neo4j database was installed on local server. This database can be accesed and commands can be executed through graphic user interface.
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Possibilities of using database Neo4j
Konoshenko, Evgeny ; Palovská, Helena (advisor) ; Tomášková, Barbora (referee)
The theme of bachelor work is NoSQL graph database Neo4J. The main objective of this work is to describe the key features Neo4J and show a practical example of how to work with this system. To achieve this objective were studied books, internet resources which relate to this topic and official documentation for the database system. The contribution of this work consists in dismantling work with Neo4J through different tools and defining use cases that database. After reading the practical part of the work reader would be able to understand the basics of working with database system Neo4J. The theoretical part focuses on the detailed analysis of the database system Neo4J, specifies terms NoSQL and graph database, defines the place of Neo4J in NoSQL databases, provides the possibility of using Neo4J in practice. In the practical part are presented examples of work with the system Neo4J, is shown the usage of query language Cypher, REST API and web interface Webadmin.
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Application of graph database for analytical tasks
Günzl, Richard ; Novotný, Ota (advisor) ; Daněk, Lukáš (referee)
This diploma thesis is about graph databases, which belong to the category of database systems known as NoSQL databases, but graph databases are beyond NoSQL databases. Graph databases are useful in many cases thanks to native storing of interconnections between data, which brings advantageous properties in comparison with traditional relational database system, especially in querying. The main goal of the thesis is: to describe principles, properties and advantages of graph database; to design own convenient graph database use case and to realize the template verifying designed use case. The theoretical part focuses on the description of properties and principles of the graph database which are then compared with relational database approach. Next part dedicates analysis and explanation of the most typical use cases of the graph database including the unsuitable use cases. The last part of thesis contains analysis of own graph database use case in which several principles are defined. The principles can be applied separately. There are crucial analytical operations in the use case. The analytical operations search the causes with their rate of influence on amount or change in the value of the indicator. This part also includes the realization of the template verifying the use case in the graph database. The template consists of the database structure design, the concrete database data and analytical operations. In the end the returned results from graph database are verified by the alternative calculations without using the graph database.
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