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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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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
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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
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