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The Usage of Data Lake for Business Intelligence Data Analysis

Author

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  • Snezhana Sulova

    (University of Economics – Varna/ Department of Informatics, Varna, Bulgaria)

Abstract

Data analysis is now becoming increasingly more important for business. The accumulation of large amounts of different types of data in organizations is a prerequisite for seeking new ways of storing, processing and analyzing them. The following paper presents the nature of the data lake concept and examines its capabilities to organize all the data, both those generated by the organization and those extracted from Internet sources. Storing large amounts of data, regard-less of its type, structure, or format, allows for the integrated use of structured and unstructured data and the application of a variety of techniques for intelligent business analysis.

Suggested Citation

  • Snezhana Sulova, 2019. "The Usage of Data Lake for Business Intelligence Data Analysis," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 135-144.
    • Handle: RePEc:vrn:katinf:y:2019:i:1:p:135-144
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    File URL: http://informatics.ue-varna.bg/conference19/Conf.proceedings_Informatics-50.years%20135-144.pdf
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    Citations

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    Cited by:

    1. Mariya Armyanova & Yanka Aleksandrova, 2022. "Artificial Intelligence System Problems and Opportunities to Solve Them with Design Patterns," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 11(2), pages 172-183, August.
    2. Mariya Armyanova, 2019. "Design Patterns for Smart Home Systems Development," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 56-67, August.

    More about this item

    Keywords

    data lake; big data; data analysis; BI; data warehouse;
    All these keywords.

    JEL classification:

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

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