Big Data Processing and Big Analytics

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Big Data Processing and Big Analytics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Big Data Processing and Big Analytics

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Emerging Technologies and Applications in Data Processing and Management

ISBN

978-1-5225-8446-9

Počet stran výsledku

31

Strana od-do

285-315

Počet stran knihy

458

Název nakladatele

IGI Global

Místo vydání

Neuveden

Kód UT WoS kapitoly

—