Database technologies in the world of Big Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10312333" target="_blank" >RIV/00216208:11320/15:10312333 - isvavai.cz</a>

Výsledek na webu

<a href="http://dl.acm.org/citation.cfm?id=2659532&picked=prox" target="_blank" >http://dl.acm.org/citation.cfm?id=2659532&picked=prox</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2812428.2812429" target="_blank" >10.1145/2812428.2812429</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Database technologies in the world of Big Data

Popis výsledku v původním jazyce

Now we have a number of database technologies called usually NoSQL, like key-value, column-oriented, and document stores as well as search engines and graph databases. Whereas SQL software vendors offer advanced products with the capability to handle highly complex queries and transactions, NoSQL databases share rather characteristics concerning scaling and performance, as e.g. auto-sharding, distributed query support, and integrated caching. Their drawbacks can be a lack of schema or data consistency,difficulty in testing and maintaining, and absence of a higher query language. Complex data modelling and the SQL language as the only access tool to data are missing here. On the other hand, last studies show that both SQL and NoSQL databases have valuefor both for transactional and analytical Big Data. Top databases providers offer rearchitected database technologies combining row data stores with columnar in-memory compression enabling processing large data sets and analytical queryi

Název v anglickém jazyce

Database technologies in the world of Big Data

Popis výsledku anglicky

Now we have a number of database technologies called usually NoSQL, like key-value, column-oriented, and document stores as well as search engines and graph databases. Whereas SQL software vendors offer advanced products with the capability to handle highly complex queries and transactions, NoSQL databases share rather characteristics concerning scaling and performance, as e.g. auto-sharding, distributed query support, and integrated caching. Their drawbacks can be a lack of schema or data consistency,difficulty in testing and maintaining, and absence of a higher query language. Complex data modelling and the SQL language as the only access tool to data are missing here. On the other hand, last studies show that both SQL and NoSQL databases have valuefor both for transactional and analytical Big Data. Top databases providers offer rearchitected database technologies combining row data stores with columnar in-memory compression enabling processing large data sets and analytical queryi

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-08195S" target="_blank" >GA13-08195S: Vysoce škálovatelné paralelní a distribuované metody zpracování vědeckých dat</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 16th International Conference on Computer Systems and Technologies

ISBN

978-1-4503-3357-3

ISSN

—

e-ISSN

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Počet stran výsledku

12

Strana od-do

1-12

Název nakladatele

ACM

Místo vydání

ACM New York

Místo konání akce

Dublin

Datum konání akce

23. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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