Comignani U. auteur aut IRD Novelli N. auteur aut IRD Berti-Equille Laure auteur aut IRD text bookSection eng text/pdf reformatted digital access This demo proposes MeSQuaL, a system for profiling and check-ing data quality before further tasks, such as data analytics and machine learning. MeSQuaL extends SQL for querying relational data with constraints on data quality and facilitates the verification of statistical tests. The system includes: (1) a query interpreter for SQuaL, the SQL-extended language we propose for declaring and querying data with data quality checks and statistical tests; (2) an extensible library of user-defined functions for profiling the data and computing various data quality indicators ;and (3) a user interface for declaring data quality constraints, profiling data, monitoring data quality with SQuaL queries, and visualizing the results via data quality dashboards. We showcaseour system in action with various scenarios on real-world datasets and show its usability for monitoring data quality over timeand checking the quality of data on-demand. specialized 122 Bonifati A. ed. edt IRD Zhou I. ed. edt IRD Vaz Salles M. A. ed. edt IRD Böhm A. ed. edt IRD Olteanu D. ed. edt IRD Fletcher G. ed. edt IRD Khan A. ed. edt IRD Yang B. ed. edt IRD 23 591-594 Constance Open Proceedings 2020 International Conference on Extending Database Technology, 23., Copenhague (DNK), 2020/30/03-2020/04/02 23 https://www.documentation.ird.fr/hor/fdi:010078830 10.5441/002/edbt.2020.71 978-3-89318-083-7 [F B010078830] https://www.documentation.ird.fr/hor/fdi:010078830 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers20-07/010078830.pdf IRD - Base Horizon / Pleins textes 2020-07-20 2020-07-31 fdi:010078830 fre