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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20171029T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20181028T030000
TZNAME:CET
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DTSTART:20180325T020000
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UID:calendar.13055.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260409T033342Z
CREATED:20180402T201713Z
DESCRIPTION:Multiple surveys show that SQL and relational databases remain 
 the most common tools used by data scientists. But can we fully trust them
 ? We give a few examples showing unexpected and counterintuitive behavior 
 of even simple SQL queries that make one question analytics results obtain
 ed from relational DBMSs. The talk will then give a quick overview of two 
 lines of work that attempt to overcome these problems. One concerns a form
 al semantics of SQL\, to at least eliminate the element of surprise in que
 ry results. The other presents a revised evaluation scheme that restores c
 orrectness to the notoriously unpredictable behavior of SQL queries over d
 atabases with incomplete information. 
DTSTART;TZID=Europe/Paris:20180404T150000
DTEND;TZID=Europe/Paris:20180404T150000
LAST-MODIFIED:20240620T113644Z
LOCATION:Diag - Aula Magna
SUMMARY:Can We Trust SQL as a Data Analytics Tool? - Leonid Libkin
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/13055
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