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Several Recommendations for Optimizing the Size of the Power BI Datasets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10253630" target="_blank" >RIV/61989100:27510/23:10253630 - isvavai.cz</a>

  • Result on the web

    <a href="https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285" target="_blank" >https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Several Recommendations for Optimizing the Size of the Power BI Datasets

  • Original language description

    Power BI is a business intelligence cloud analytics service from Mi-crosoft. It aims to provide interactive visualizations and business intelli-gence features with an interface simple enough for end users for creat-ing their own reports and dashboards. These reports are published to the Power BI Service, but the dataset size must not exceed 1 GB, this ap-plies to Free and Pro licenses. Although dataset data is highly com-pressed, there is a risk of exceeding the allowed dataset size. In such a case, it is necessary to proceed with further optimization of the data model. This article should show a few selected options for optimizing the Power BI data model, which should result in a reduction of the da-taset size.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 15th International Conference on Strategic Management and its Support by Information Systems 2023: May 22-24, 2023, Ostrava, Czech Republic

  • ISBN

    978-80-248-4687-3

  • ISSN

    2570-5776

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    236-243

  • Publisher name

    VŠB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    May 22, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article