Multi-model Data Management: What's New and What's Next?

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-model Data Management: What's New and What's Next?

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multi-model Data Management: What's New and What's Next?

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 20th International Conference on Extending Database Technology

ISBN

978-3-89318-073-8

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

4

Strana od-do

602-605

Název nakladatele

OpenProceedings.o

Místo vydání

Venice, Italy

Místo konání akce

Venice, Italy

Datum konání akce

21. 3. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—