|
|
Greek Mythology in Christa Wolf's Novels
Jannesová, Jitka ; Zbytovský, Štěpán (advisor) ; Tvrdík, Milan (referee)
Keywords Christa Wolf, myth, mythology, myth revision, Cassandra, Medea, social functions of literature Abstract The subject of this thesis is the incorporation of ancient mythology in the story Cassandra and in the novel Medea: A Modern Retelling by Christa Wolf with the backdrop of the author's own understanding of the function of literature. The first part of the work contains a theoretical introduction to the topic of myths and mythology and presents the most important theories about myths and their incorporation in literature. The subsequent part of the work focuses on the understanding of a myth and its function as used by Christa Wolf. The core of this work is an analysis of the literary incorporation of mythological substance in the writings specified above and a comparison with the incorporation of such substance in the works of ancient authors Aeschylus and Euripides, with the aim of showing through what means and what intentions the author has updated and revised the myth. This part of the work also includes an analysis of the poetological concept of Christa Wolf and the related social functions of literature and the author's role.
|
|
|
Processing and Visualization of Military Sensor Data
Boychuk, Maksym ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
This thesis deals with the creating, visualization and processing data in a military environment. The task is to design and implement a system that enables the creation, visualization and processing ESM data. The result of this work is a ESMBD application that allows using a classical approach, which is a relational database, and BigData technologies for data storage and manipulation. The comparison of data processing speed while using the classic approach (Postgres database) and BigData technologies (Cassandra databases and Hadoop) has been carried out as well.
|
|
|
NoSQL databases
Mrozek, Jakub ; Palovská, Helena (advisor) ; Bruckner, Tomáš (referee)
The topic of this thesis is NoSQL databases and is mainly focused on presenting the most common types of NoSQL databases and their use. This text assumes that the reader is sufficiently familiar with the basic principles of NoSQL databases and is aimed at helping the reader to find their way through a number of NoSQL databases that are currently available on the market. The main objective is to provide readers with a guide for choosing the right database solution for the particular problem they are trying to solve. The work is divided into two main parts. In the theoretical part, the reader will find basic information about the types of NoSQL databases. The most widely used representatives, including examples of work with databases, will be presented in detail. In the practical part, the reader will find a comparison of several representatives in the category of NoSQL databases.
|
|
|
Esper web: Web interface for real time event processing
Kravec, Martin ; Šlajchrt, Zbyněk (advisor) ; Pecinovský, Rudolf (referee)
This thesis deals with the complex event processing problem. In theoretical part you can find explanation of basic terms and description of used technologies. Reader also becomes fammiliar with basics of work with esper. Practical part is about building administrative interface, which after connecting to server part of application enables user to use basic functionality of esper engine without previous programming knowledge. Part of this chapter is about system set-up, installation and launching the application as it is not considered to be a trivial task.
|
|
|
Comparison of distributed "NoSQL" databases with focus on performance and scalability
Vrbík, Tomáš ; Šlajchrt, Zbyněk (advisor) ; Pavlíček, Luboš (referee)
This paper focuses on NoSQL database systems. These systems currently serve rather as supplement than replacement of relational database systems. The aim of this paper is to compare 4 selected NoSQL database systems (MongoDB, Apache Cassandra, Apache HBase and Redis) with a main focus on performance and scalability. Performance comparison is done using simulated workload in a 4 nodes cluster environment. One relational SQL database is also benchmarked to provide comparison between classic and modern way of maintaining structured data. As the result of comparison I found out that none of these database systems can be labeled as "the best" as each of the compared systems is suitable for different production deployment.
|
guest ::
