Zobrazeno 1 - 5
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pro vyhledávání: '"Sawadogo, Pegdwend��"'
Autor:
Scholly, Etienne, Sawadogo, Pegdwend��, Liu, Pengfei, Espinosa-Oviedo, Javier, Favre, C��cile, Loudcher, Sabine, Darmont, J��r��me, No��s, Camille
We summarize here a paper published in 2021 in the DOLAP international workshop DOLAP associated with the EDBT and ICDT conferences. We propose goldMEDAL, a generic metadata model for data lakes based on four concepts and a three-level modeling: conc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc5a53ce67f9dce364402a2e38cba9a6
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. However, these proposals are difficult to evaluate as there are no commo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c204c32447f27b451c0001a012b9ab1
Over the past two decades, we have witnessed an exponential increase of data production in the world. So-called big data generally come from transactional systems, and even more so from the Internet of Things and social media. They are mainly charact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecfce7d42bb6d88b5b8daf02447178dc
This paper presents the way the joint ADBIS, TPDL and EDA 2020 conferences were organized online and the results of the participant survey conducted thereafter. We present the lessons learned from the participants' feedback.
7 pages, 16 figures
7 pages, 16 figures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d2dc2adfa983a881ee7ebd5f9af815e
http://arxiv.org/abs/2012.01184
http://arxiv.org/abs/2012.01184
Autor:
Sawadogo, Pegdwend��, Scholly, Etienne, Favre, C��cile, Ferey, Eric, Loudcher, Sabine, Darmont, J��r��me
Over the past decade, the data lake concept has emerged as an alternative to data warehouses for storing and analyzing big data. A data lake allows storing data without any predefined schema. Therefore, data querying and analysis depend on a metadata
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::869fbcc6f32f57262c7d68c5e389a362
http://arxiv.org/abs/1909.09377
http://arxiv.org/abs/1909.09377