Data integration from traditional to big data: main features and comparisons of ETL approaches

Data integration combines information from different sources to provide a comprehensive view for making informed business decisions. The ETL (Extract, Transform, and Load) process is essential in data integration. In the past two decades, modeling the ETL process has become a priority for effectivel...

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Veröffentlicht in:	The Journal of supercomputing Jg. 80; H. 19; S. 26687 - 26725
Hauptverfasser:	Walha, Afef, Ghozzi, Faiza, Gargouri, Faiez
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2024 Springer Nature B.V
Schlagworte:	Artificial intelligence Big Data Business intelligence Classification Compilers Computer Science Data collection Data integration Data processing Data warehouses Decision making Decision support systems Distributed processing Interpreters Keywords Literature reviews Modelling Processor Architectures Programming Languages Research methodology Social networks Storage systems Trends Decision Support System Big Data Extract–Transform–Load Data integration ETL modeling
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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