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Big Data Analysis Architecture

Author

Listed:
  • Vanya Lazarova

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

  • Daniel Delchev

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

Abstract

Nowadays, because of the rapid changes in the environment we can observe complex developments in the companies. Furthermore, the recent technological growth renders the business world a very competitive environment. It is essential for companies to make highly accurate decisions in a short period of time in order to compete in such an environment. They have to rely not only on the amount of data that they have gathered but also on the efficiency of gathering new data from external sources. Big Data is a crucial part in the decision making of big and small enterprises. To use Big Data efficiently it is necessary for the companies to rethink their whole data infrastructure. Traditional architectures cannot enable the companies to explore a whole new range of possibilities such as: penetrating new markets, widening their existing ones, enriching their assortment, increasing their profitability and many more. Modern architectures must consist of additional data sources, new technological components and modern ways to analyse the data.

Suggested Citation

  • Vanya Lazarova & Daniel Delchev, 2021. "Big Data Analysis Architecture," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 315-328, July.
    • Handle: RePEc:nwe:eajour:y:2021:i:2:p:315-328
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    File URL: https://www.unwe.bg/doi/eajournal/2021.2/EA.2021.2.09.pdf
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    References listed on IDEAS

    as
    1. Monika Tsaneva, 2019. "A Practical Approach For Integrating Heterogeneous Systems," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 5-15.
    2. Veska Mihova, 2015. "Methods of Using Business Intelligence Technologies for Dynamic Database Performance Administration," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 105-116, October.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Vasilev Julian & Sulova Snezhana, 2023. "An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports," Folia Oeconomica Stetinensia, Sciendo, vol. 23(2), pages 402-426, December.

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