Opportunities in Big Data Management and Processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10282395" target="_blank" >RIV/00216208:11320/14:10282395 - isvavai.cz</a>

Výsledek na webu

<a href="http://ebooks.iospress.nl/volume/databases-and-information-systems-viii-selected-papers-from-the-eleventh-international-baltic-conference-dbis-2014" target="_blank" >http://ebooks.iospress.nl/volume/databases-and-information-systems-viii-selected-papers-from-the-eleventh-international-baltic-conference-dbis-2014</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/978-1-61499-458-9-15" target="_blank" >10.3233/978-1-61499-458-9-15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Opportunities in Big Data Management and Processing

Popis výsledku v původním jazyce

Every day we witness new forms of data in various formats. Some example include structured data from transactions we make, unstructured data as text communications of different kinds, varieties of multimedia files and video streams. To ensure efficient processing of this data, often called 'Big Data', the use of highly distributed and scalable systems and new data management architectures, e.g. distributed file systems and NoSQL database, has been widely considered. However, volume, variety and velocityof Big Data and data analytics demands indicate that these tools solve Big Data problems partially only. To make effective use of such data, novel concepts of management is required, in particular, being able to efficiently access data within a tolerable time not only from the users own domain, but also from other domains which the user is authorized to access. This paper elaborates on some issues related to the efficient management of Big Data, discusses current trends, identifies the

Název v anglickém jazyce

Opportunities in Big Data Management and Processing

Popis výsledku anglicky

Every day we witness new forms of data in various formats. Some example include structured data from transactions we make, unstructured data as text communications of different kinds, varieties of multimedia files and video streams. To ensure efficient processing of this data, often called 'Big Data', the use of highly distributed and scalable systems and new data management architectures, e.g. distributed file systems and NoSQL database, has been widely considered. However, volume, variety and velocityof Big Data and data analytics demands indicate that these tools solve Big Data problems partially only. To make effective use of such data, novel concepts of management is required, in particular, being able to efficiently access data within a tolerable time not only from the users own domain, but also from other domains which the user is authorized to access. This paper elaborates on some issues related to the efficient management of Big Data, discusses current trends, identifies the

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Frontiers in Artificial Intelligence and Applications

ISSN

0922-6389

e-ISSN

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Svazek periodika

neuveden

Číslo periodika v rámci svazku

270

Stát vydavatele periodika

PK - Pákistánská islámská republika

Počet stran výsledku

12

Strana od-do

15-26

Kód UT WoS článku

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EID výsledku v databázi Scopus

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