| dc.contributor.advisor | Retschitzegger, Werner | |
| dc.contributor.author | Saibold, Anna | |
| dc.date.accessioned | 2022-03-08T14:23:03Z | |
| dc.date.available | 2022-03-08T14:23:03Z | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-07-02 | |
| dc.identifier.uri | https://dspace.jcu.cz/handle/20.500.14390/38556 | |
| dc.format | 109 | |
| dc.format | 109 | |
| dc.language.iso | eng | |
| dc.publisher | Jihočeská univerzita | cze |
| dc.rights | Bez omezení | |
| dc.subject | Dataengineering | eng |
| dc.subject | Bioinformatics | eng |
| dc.subject | XML | eng |
| dc.subject | Integration | eng |
| dc.subject | Ontology | eng |
| dc.subject | Mapping | eng |
| dc.subject | Informationsystems | eng |
| dc.subject | Cancer | eng |
| dc.subject | Gene | eng |
| dc.subject | Disease | eng |
| dc.subject | Database | eng |
| dc.subject | Query | eng |
| dc.subject | Schema | eng |
| dc.title | Application of Data Engineering Technologies in Bioinformatics | cze |
| dc.title.alternative | Application of Data Engineering
Technologies in Bioinformatics | eng |
| dc.title.alternative | Application of Data Engineering Technologies in Bioinformatics | cze |
| dc.type | bakalářská práce | cze |
| dc.identifier.stag | 52998 | |
| dc.description.abstract-translated | Due to the huge amount of biological data, the various available data
sources, and the diversity of their structure as well as content, data
engineering technologies are required. They provide an important opportunity
to support their exploitation. This thesis aims at applying several
data engineering steps to a particular real-world data source to
demonstrate the additional benefit with respect to utilization of the data
by means of connecting to other data sources as well as querying and
analyzing the data. Therefore, in the practical part of this thesis a continuous
example showing several engineering steps is constructed,
comprising the development of different schemata, the creation of a
database as well as the mapping and integration of future heterogeneous
data. Finally, processing queries against the engineered data
source is compared to an online database search regarding different
aspects like time, effort, and usability. As the example shows, an engineered
database can have huge benefits over online search, especially
for complex queries, processing data from several sources. | eng |
| dc.date.accepted | 2018-07-05 | |
| dc.description.department | Přírodovědecká fakulta | cze |
| dc.thesis.degree-discipline | Bioinformatics | cze |
| dc.thesis.degree-grantor | Jihočeská univerzita. Přírodovědecká fakulta | cze |
| dc.thesis.degree-name | Bc. | |
| dc.thesis.degree-program | Applied Informatics | cze |
| dc.description.grade | Dokončená práce s úspěšnou obhajobou | cze |
| dc.contributor.referee | Hofmarcher, Markus | |
