activity
20072023
most citedOn data lake architectures and metadata management

208 citations · 643 across the 71 of their papers we have counts for

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Showing cs.DBShow all

74 papers · 1 filter

cs.DB2023

An Ontology-based Collaborative Business Intelligence Framework

Muhammad Fahad, Jérôme Darmont

Business Intelligence constitutes a set of methodologies and tools aiming at querying, reporting, on-line analytic processing (OLAP), generating alerts, performing business analyti…

cs.DB2022

The Collaborative Business Intelligence Ontology (CBIOnt)

Muhammad Fahad, Jérôme Darmont, Cécile Favre

In the current era, many disciplines are seen devoted towards ontology development for their domains with the intention of creating, disseminating and managing resource description…

cs.DB2022★ 4 cited

Dimensional Data KNN-Based Imputation

Yuzhao Yang, Jérôme Darmont, Franck Ravat +1

Data Warehouses (DWs) are core components of Business Intelligence (BI). Missing data in DWs have a great impact on data analyses. Therefore, missing data need to be completed. Unl…

cs.DB2021★ 1 cited

Internal Data Imputation in Data Warehouse Dimensions

Yuzhao Yang, Fatma Abdelhedi, Jérôme Darmont +2

Missing values occur commonly in the multidimensional data warehouses. They may generate problems of usefulness of data since the analysis performed on a multidimensional data ware…

cs.DB2021★ 4 cited

Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench

Pegdwendé Sawadogo, Jérôme Darmont

In the last few years, the concept of data lake has become trendy for data storage and analysis. Thus, several design alternatives have been proposed to build data lake systems. Ho…

cs.DB2021★ 1 cited

Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake

Pegdwendé Sawadogo, Jérôme Darmont, Camille Noûs

In 2010, the concept of data lake emerged as an alternative to data warehouses for big data management. Data lakes follow a schema-on-read approach to provide rich and flexible ana…