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A Conceptual Model For The Organization And Storage Of Metadata For Data From Internet Sources

Author

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  • Snezhana Sulova

    (University of Economics - Varna)

Abstract

Data from internet sources, as well as their processing methods, is a prominent area of study. The evolution of web services and concepts that have developed with the growth of the Internet, as well as the widespread use of the world wide web and the wide variety of sensors and mobile devices have led to the Internet becoming a rich data source. In order to process and analyze this data, modern approaches and architectural solutions for their management are needed. The heterogeneous nature and specificity of Internet data requires the use of repositories, where the data can be organized and stored based on a pre-established management concept. In this regard, this article offers a model for organizing and storing metadata to help successfully manage data extracted from Internet sources. Such a model is a good basis for building data management architecture from heterogeneous sources that will support companies in analyzing and improving their business intelligence strategies.

Suggested Citation

  • Snezhana Sulova, 2021. "A Conceptual Model For The Organization And Storage Of Metadata For Data From Internet Sources," HR and Technologies, Creative Space Association, issue 2, pages 3-14.
    • Handle: RePEc:arb:journl:y:2021:i:2:p:3-14
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    References listed on IDEAS

    as
    1. Boris Bankov, 2017. "Extracting Top Trends from Twitter Discussions in Bulgarian," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, issue 2, pages 254-259, November.
    2. Olga Marinova, 2016. "Business intelligence and data warehouse programs in higher education institutions: current status and recommendations for improvement," Economics and computer science, Publishing house "Knowledge and business" Varna, issue 5, pages 17-25.
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      Keywords

      metadata; data; internet sources; data lake;
      All these keywords.

      JEL classification:

      • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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