Current Aspects of the Data Ecosystems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F25%3A39922881" target="_blank" >RIV/00216275:25530/25:39922881 - isvavai.cz</a>
Result on the web
<a href="https://ipsitransactions.org/journals/papers/tir/2025jul/p8.php" target="_blank" >https://ipsitransactions.org/journals/papers/tir/2025jul/p8.php</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.58245/ipsi.tir.2502.08" target="_blank" >10.58245/ipsi.tir.2502.08</a>
Alternative languages
Result language
angličtina
Original language name
Current Aspects of the Data Ecosystems
Original language description
Current trends and future developments in the field of data storage, processing, analysis, output, and visualization include various possible directions and future developments of these systems. This paper discusses the current state of data ecosystems and possible future developments based on an analysis of publications and studies from the last time. Commonly known trends point to approaches that enable more efficient data management, faster data analysis and, of course, the integration of different types of data coming from different sources. Additionally, the study evaluates the ETL process performance, identifying key metrics, optimizations, and bottlenecks in data processing workflows. The benefits and development of generative models are also changing the way we work with data, with implications for improved visualizations and general process automation. Thus, in the area of analysis, it can be assumed there will be an even greater emphasis on interactive and intuitive reports that make it as easy as possible to understand complex data structures. In terms of the use of system resources, the use of Cloud services is the basis for the comprehensive use of scalability and flexibility at lower infrastructure costs. Another area that the paper discusses is the current growing demand for real-time data analysis due to the increasing need for quick decisions based on data evaluation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IPSI Transactions on Internet Research
ISSN
1820-4503
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
2
Country of publishing house
RS - THE REPUBLIC OF SERBIA
Number of pages
10
Pages from-to
76-85
UT code for WoS article
001490644200007
EID of the result in the Scopus database
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