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Poster communications
Business Intelligence and Analytics: On-demand ETL over Document Stores
Abstract : For many decades, Business Intelligence and Analytics (BI&A) has been associated with relational databases. In the era of big data and NoSQL stores, it is important to provide approaches and systems capable of analyzing this type of data for decision-making. In this paper, we present a new BI&A approach that both: (i) extracts, transforms and loads the required data for OLAP analysis (on-demand ETL) from document stores, and (ii) provides the models and the systems required for suitable OLAP analysis. We focus here, on the on-demand ETL stage where, unlike existing works, we consider the dispersion of data over two or more collections.
https://hal-cnam.archives-ouvertes.fr/hal-03026348
Contributor : Manel Souibgui <>
Submitted on : Thursday, November 26, 2020 - 4:19:46 PM
Last modification on : Monday, April 5, 2021 - 10:06:43 AM
Contributor : Manel Souibgui <>
Submitted on : Thursday, November 26, 2020 - 4:19:46 PM
Last modification on : Monday, April 5, 2021 - 10:06:43 AM