|
|
Database for Genealogical Models
Vanka, Michal ; Zbořil, František (referee) ; Kočí, Radek (advisor)
This work, which extends the DEMoS project, deals with solving efficient storage of genealogical models in the database. For this purpose, different types and specific solutions of database systems are compared to find the most suitable one. After selecting the right solution, a structure for storing genealogical records is created, emphasizing the reduction of data redundancy compared to the original system for storing people in the DEMoS project. The work provides this system with a web user interface for the practical possibility of integration into the DEMoS project and convenient work with the database system.
|
|
|
Distributed Big Data Processing on the Java Platform
Tutko, Jakub ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This thesis is focused on the distributed Big Data processing on the Java platform, together with graph databases. It analyses several graph database distributions and the possibilities to connect them to the Apache Hadoop system for distributed data processing. For the purpose of testing database solutions effectiveness, the thesis outcome is an application, which is downloading data from social networks Twitter and Facebook. It is able to write and analyse data with two different database frameworks which are Halyard and HGraphDB.
|
|
|
Family Trees Making from Parish Records
Marhefka, Adam ; Šátek, Václav (referee) ; Rozman, Jaroslav (advisor)
This work will discuss the field of genealogy, processing, comparing, and classifying genealogical data and subsequent connection of this processed data into bigger structures in graph database. This work directly continues the work of Ing Tušimová and further expands it. The expansions described in the work will be dedicated to addition of support for more forms of input genealogical data, optimization and expansions of the core algorithm realizing the processing of genealogical records. The goal of this work is therefore to make the core algorithm more efficient and precise as well as the addition of support for parish records of marriages and deaths.
|
|
|
Family Trees Making from Parish Records
Marhefka, Adam ; Šátek, Václav (referee) ; Rozman, Jaroslav (advisor)
This work will discuss the field of genealogy, processing, comparing, and classifying genealogical data and subsequent connection of this processed data into bigger structures in graph database. This work directly continues the work of Ing Tušimová and further expands it. The expansions described in the work will be dedicated to addition of support for more forms of input genealogical data, optimization and expansions of the core algorithm realizing the processing of genealogical records. The goal of this work is therefore to make the core algorithm more efficient and precise as well as the addition of support for parish records of marriages and deaths.
|
|
|
Database for Genealogical Models
Vanka, Michal ; Zbořil, František (referee) ; Kočí, Radek (advisor)
This work, which extends the DEMoS project, deals with solving efficient storage of genealogical models in the database. For this purpose, different types and specific solutions of database systems are compared to find the most suitable one. After selecting the right solution, a structure for storing genealogical records is created, emphasizing the reduction of data redundancy compared to the original system for storing people in the DEMoS project. The work provides this system with a web user interface for the practical possibility of integration into the DEMoS project and convenient work with the database system.
|
|
|
Distributed Big Data Processing on the Java Platform
Tutko, Jakub ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
This thesis is focused on the distributed Big Data processing on the Java platform, together with graph databases. It analyses several graph database distributions and the possibilities to connect them to the Apache Hadoop system for distributed data processing. For the purpose of testing database solutions effectiveness, the thesis outcome is an application, which is downloading data from social networks Twitter and Facebook. It is able to write and analyse data with two different database frameworks which are Halyard and HGraphDB.
|
guest ::
