Opportunities in Big Data Management and Processing

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Opportunities in Big Data Management and Processing

Original language description

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

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

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

Name of the periodical

Frontiers in Artificial Intelligence and Applications

ISSN

0922-6389

e-ISSN

—

Volume of the periodical

neuveden

Issue of the periodical within the volume

270

Country of publishing house

PK - PAKISTAN

Number of pages

12

Pages from-to

15-26

UT code for WoS article

—

EID of the result in the Scopus database

—