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Big Data Challenges - Definition, Characteristics and Technologies

Author

Listed:
  • Stanimira Yordanova

    () (University of National and World Economy, Sofia, Bulgaria)

  • Kamelia Stefanova

    () (University of National and World Economy, Sofia, Bulgaria)

Abstract

Volume, complexity, variety and velocity of generated data today reach incredible levels and data cannot be collected, selected, processed or managed through widely used and applied software tools. The need to extract meaningful information from big data evokes the development of new approaches and technologies for storing, processing and analyzing big data coming from different sources. This paper aims to present the definition, characteristics and technologies for storing and managing big data that require a new approach to understanding data and information.

Suggested Citation

  • Stanimira Yordanova & Kamelia Stefanova, 2019. "Big Data Challenges - Definition, Characteristics and Technologies," Nauchni trudove, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 13-31, June.
  • Handle: RePEc:nwe:natrud:y:2019:i:1:p:13-31
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    File URL: http://unwe-research-papers.org/bg/journalissues/article/10072
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    More about this item

    Keywords

    Big Data; Data Lake; Hadoop;

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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