Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10388008" target="_blank" >RIV/00216208:11320/18:10388008 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3269206.3274269" target="_blank" >https://doi.org/10.1145/3269206.3274269</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3269206.3274269" target="_blank" >10.1145/3269206.3274269</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges

Popis výsledku v původním jazyce

One of the most challenging issues in the era of Big Data is the &quot;Variety&quot; of the data. In general, there are two solutions to directly manage multi-model data currently: a single integrated multi-model database system or a tightly-integrated middleware over multiple single-model data stores. In this tutorial, we review and compare these two approaches giving insights on their advantages, tradeoffs, and research opportunities. In particular, we dive into four key aspects of technology for both types of systems, namely (1) theoretical foundation of multi-model data management, (2) storage strategies for multi-model data, (3) query languages across models, and (4) query evaluation and its optimization. We provide a comparison of performance for the two approaches and discuss related open problems and remaining challenges. The slides of this tutorial can be found at http://udbms.cs.helsinki.fi/?tutorials/CIKM2018.

Název v anglickém jazyce

Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges

Popis výsledku anglicky

One of the most challenging issues in the era of Big Data is the &quot;Variety&quot; of the data. In general, there are two solutions to directly manage multi-model data currently: a single integrated multi-model database system or a tightly-integrated middleware over multiple single-model data stores. In this tutorial, we review and compare these two approaches giving insights on their advantages, tradeoffs, and research opportunities. In particular, we dive into four key aspects of technology for both types of systems, namely (1) theoretical foundation of multi-model data management, (2) storage strategies for multi-model data, (3) query languages across models, and (4) query evaluation and its optimization. We provide a comparison of performance for the two approaches and discuss related open problems and remaining challenges. The slides of this tutorial can be found at http://udbms.cs.helsinki.fi/?tutorials/CIKM2018.

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

CIKM &apos;18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management

ISBN

978-1-4503-6014-2

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

2

Strana od-do

2301-2302

Název nakladatele

ASSOC COMPUTING MACHINERY

Místo vydání

NEW YORK

Místo konání akce

Torino

Datum konání akce

22. 10. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000455712300309