NoSQL data warehouse optimizing models: A comparative study of column-oriented approaches

There is a great challenge when building an efficient Big Data Warehouse (DW) from the traditional data warehouse which used to handle the large datasets. Several presented solutions concentrate on the conversion of a standard DW to an columnar model, especially for direct and traditional data sourc...

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Bibliographic Details
Published in:	Big data research Vol. 40; p. 100523
Main Authors:	Mouhiha, Mohamed, Mabrouk, Abdelfettah
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 28.05.2025
Subjects:	Big data Big data warehouse Column-oriented NoSQL database Optimization Big data Column-oriented NoSQL database Optimization Big data warehouse
ISSN:	2214-5796
Online Access:	Get full text
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Summary:	There is a great challenge when building an efficient Big Data Warehouse (DW) from the traditional data warehouse which used to handle the large datasets. Several presented solutions concentrate on the conversion of a standard DW to an columnar model, especially for direct and traditional data sources. Though there have been many successful algorithms that apply data clustering methods, these approaches also come with their fair share of limitations. This paper provides a comprehensive review of the existing methods, both tuned and out-of-the box, exposing their strengths and weaknesses. Further, a comparative study of the different options is always conducted to compare and assess them.
ISSN:	2214-5796
DOI:	10.1016/j.bdr.2025.100523