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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

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • 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