Advancements in Dimensional Modeling for Real-Time Analytics: A Literature Review
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Engineering Science | India | Volume 9 Issue 3, March 2020 | Popularity: 4.6 / 10


     

Advancements in Dimensional Modeling for Real-Time Analytics: A Literature Review

Sneha Dingre


Abstract: This paper presents a comprehensive literature review on the advancements in dimensional modeling techniques tailored for real-time analytics. With the proliferation of streaming data sources and the increasing demand for immediate insights, organizations are seeking effective strategies to build dimensional models capable of handling streaming data streams. This review synthesizes key architectural approaches, data modeling techniques, and emerging technologies in the realm of real-time dimensional modeling. By examining recent research and industry practices, this paper provides insights into the challenges, best practices, and future directions in this evolving field.


Keywords: Real-time analytics, dimensional modeling, streaming data, architectural frameworks, schema-on-read


Edition: Volume 9 Issue 3, March 2020


Pages: 1662 - 1664



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Sneha Dingre, "Advancements in Dimensional Modeling for Real-Time Analytics: A Literature Review", International Journal of Science and Research (IJSR), Volume 9 Issue 3, March 2020, pp. 1662-1664, https://www.ijsr.net/getabstract.php?paperid=SR24401232913, DOI: https://www.doi.org/10.21275/SR24401232913

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