Big Data Processing and Big Analytics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10394505" target="_blank" >RIV/00216208:11320/19:10394505 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.4018/978-1-5225-8446-9.ch014" target="_blank" >http://dx.doi.org/10.4018/978-1-5225-8446-9.ch014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/978-1-5225-8446-9.ch014" target="_blank" >10.4018/978-1-5225-8446-9.ch014</a>
Alternative languages
Result language
angličtina
Original language name
Big Data Processing and Big Analytics
Original language description
Development and wide acceptance of data-driven applications in many aspects of our daily lives is generating waste volume of diverse data, which can be collected and analyzed to support various valuable decisions. Management and processing of this big data is a challenge. The development and extensive use of highly distributed and scalable systems to process big data have been widely considered. New data management architectures (e.g., distributed file systems and NoSQL databases) are used in this context. However, features of big data like their complexity and data analytics demands indicate that these concepts 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 is considered. In this chapter, the authors discuss these trends and evaluate some current approaches to big data processing and analytics, identify the current challenges, and suggest possible research directions.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Emerging Technologies and Applications in Data Processing and Management
ISBN
978-1-5225-8446-9
Number of pages of the result
31
Pages from-to
285-315
Number of pages of the book
458
Publisher name
IGI Global
Place of publication
Neuveden
UT code for WoS chapter
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