Real-Time ETL for Multimedia Sources: A Systematic Literature Review
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 1051 LNNS, Page: 55-64
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
The proliferation of multimedia data sources including text, images, videos, etc., driven by the extensive usage of social media and smart devices, highlights a significant need for real-time processing. This crucial issue becomes particularly evident in decision support systems, which enable organizations to make timely, informed choices. In this paper, we present a comprehensive systematic literature review (SLR) aimed at identifying relevant studies that address the problem of real-time Extract, Transform, Load (ETL) processes with complex and heterogeneous data sources, specifically focusing on multimedia data known as Big Data Multimedia. We aim to extract various methods and technologies to adapt typical ETL processes to handle multimedia data sources. Initially, a set of 5,882 papers was selected. After applying the different steps of the SLR, this selection was filtered down to 11 papers using specific selection criteria and a thorough analysis of each paper. The selected studies were then utilized to address the defined research questions. Finally, this paper discusses synthesized data, current research gaps, and provides recommendations for future work.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85201109271&origin=inward; http://dx.doi.org/10.1007/978-3-031-64850-2_6; https://link.springer.com/10.1007/978-3-031-64850-2_6; https://dx.doi.org/10.1007/978-3-031-64850-2_6; https://link.springer.com/chapter/10.1007/978-3-031-64850-2_6
Springer Science and Business Media LLC
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