Multi-model Data Management: What's New and What's Next?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10336047" target="_blank" >RIV/00216208:11320/17:10336047 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5441/002/edbt.2017.80" target="_blank" >http://dx.doi.org/10.5441/002/edbt.2017.80</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5441/002/edbt.2017.80" target="_blank" >10.5441/002/edbt.2017.80</a>
Alternative languages
Result language
angličtina
Original language name
Multi-model Data Management: What's New and What's Next?
Original language description
As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support massive volume of non-relational or unstructured forms of data. Nothing shows the picture more starkly than the Gartner Magic quadrant for operational database management systems, which assumes that, by 2017, all leading operational DBMSs will offer multiple data models, relational and NoSQL, in a single DBMS platform. Having a single data platform for managing both well-structured data and NoSQL data is beneficial to users; this approach reduces significantly integration, migration, development, maintenance, and operational issues. Therefore, a challenging research work is how to develop efficient consolidated single data management platform covering both relational data and NoSQL to reduce integration issues, simplify operations, and eliminate migration issues. In this tutorial, we review the previous work on multi-model data management and provide the insights on the research challenges and directions for future work.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 20th International Conference on Extending Database Technology
ISBN
978-3-89318-073-8
ISSN
—
e-ISSN
neuvedeno
Number of pages
4
Pages from-to
602-605
Publisher name
OpenProceedings.o
Place of publication
Venice, Italy
Event location
Venice, Italy
Event date
Mar 21, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—