How to Store and Process Big Data: Are Today's Databases Sufficient?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10281246" target="_blank" >RIV/00216208:11320/14:10281246 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
How to Store and Process Big Data: Are Today's Databases Sufficient?
Original language description
The development and extensive use of highly distributed and scalable systems to process Big Data is widely considered. New data management architectures, e.g. distributed file systems and NoSQL databases, are used in this context. On the other hand, features of Big Data like their complexity and data analytics demands indicate that these tools solve Big Data problems only partially. A development of so called NewSQL databases is highly relevant and even special category of Big Data Management Systems isconsidered. In this work we will shortly discuss these trends and evaluate some current approaches to Big Data management and processing, identify the current challenges, and suggest possible research directions.
Czech name
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Czech description
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Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computer Information Systems and Industrial Management
ISBN
978-3-662-45236-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
5-10
Publisher name
Springer
Place of publication
Springer Berlin Heidelberg
Event location
Ho Chi Minh City, Vietnam
Event date
Nov 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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