Modelling and Management of Multi-Model Data
| Thesis title in Czech: | Modelování a správa multi-modelových dat |
|---|---|
| Thesis title in English: | Modelling and Management of Multi-Model Data |
| Key words: | Multi-modelová data|Konceptuální modelování|Logické modelování|Odvozování schématu|Migrace dat|Správa evoluce|Teorie kategorií |
| English key words: | Multi-Model Data|Conceptual Modelling|Logical Modelling|Schema Inference|Data Migration|Evolution Management|Category Theory |
| Academic year of topic announcement: | 2018/2019 |
| Thesis type: | dissertation |
| Thesis language: | angličtina |
| Department: | Department of Software Engineering (32-KSI) |
| Supervisor: | doc. RNDr. Irena Holubová, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 17.07.2019 |
| Date of assignment: | 17.07.2019 |
| Confirmed by Study dept. on: | 04.10.2019 |
| Date and time of defence: | 30.09.2022 09:00 |
| Date of electronic submission: | 25.07.2022 |
| Date of submission of printed version: | 28.07.2022 |
| Date of proceeded defence: | 30.09.2022 |
| Opponents: | Dr.-Ing. habil. Meike Klettke |
| prof. Ing. Michal Krátký, Ph.D. | |
| Guidelines |
| Contemporary applications often need to deal with large volumes of diverse data with limited periods of validity. While the traditional relational databases have been considered as systems of the first choice for decades, with the arrival of Big Data their capabilities have become insufficient in many aspects, and so new types of database systems appeared. For example, key-value, document or graph NoSQL databases, to name at least some of them. As the current trends indicate, several logical models are often required to be exploited within just a single application at a time. Usage of multiple standalone database systems, however, leads to performance issues, data inconsistency, lack of availability or increased demands on system administrators. Therefore the concept of multi-model databases could represent a dignified and promising successor of the traditional approaches for the newly emerging and challenging use cases. Yet these systems first need to gain solid foundations and reach the same level of both applied and theoretical maturity. The goal of this Ph.D. study is to research the area of modern database solutions, in particular, but not solely, with respect to data variety issues and challenges of multi-model data modeling, storing and querying. |
| References |
| SHARMA, Sugam, et al. Classification and comparison of NoSQL big data models. International Journal of Big Data Intelligence, 2015, 2.3: 201-221.
<https://www.inderscienceonline.com/doi/abs/10.1504/IJBDI.2015.070602> CHEN, Min; MAO, Shiwen; LIU, Yunhao. Big data: A survey. Mobile networks and applications, 2014, 19.2: 171-209. <https://link.springer.com/article/10.1007/s11036-013-0489-0> KHAN, Nawsher, et al. Big data: survey, technologies, opportunities, and challenges. The Scientific World Journal, 2014, 2014. <https://www.hindawi.com/journals/tswj/2014/712826/abs/> DAVOUDIAN, Ali; CHEN, Liu; LIU, Mengchi. A survey on NoSQL stores. ACM Computing Surveys (CSUR), 2018, 51.2: 40. <https://dl.acm.org/citation.cfm?id=3158661> MONIRUZZAMAN, A. B. M.; HOSSAIN, Syed Akhter. Nosql database: New era of databases for big data analytics-classification, characteristics and comparison. arXiv preprint arXiv:1307.0191, 2013. <https://arxiv.org/abs/1307.0191> |