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