BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:US/Pacific
BEGIN:DAYLIGHT
DTSTART:20230312T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20231105T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230816T034411Z
UID:4552A8F3-986B-4CC6-81C5-CB417B7CB33D
DTSTART;TZID=US/Pacific:20230815T180000
DTEND;TZID=US/Pacific:20230815T200000
DESCRIPTION:Free Registration: https://www.eventbrite.com/e/slowly-changing
 -dimensions-fast-changing-facts-the-story-of-the-classic-dw-tickets-649431
 084857\n\nSynopsis:\n\nThe classic or traditional data warehouse is a cruc
 ial part of the data analytics supported decision making infrastructure in
  many organizations. The classic data warehouse is still a key tool in gen
 erating actionable insights into an organization’s performance. This tal
 k will detail the rationale for having a data warehouse system distinct fr
 om other OLTP based operational systems in the organization\, provide insi
 ghts into dimensional modeling\, and conclude with some recent development
 s in the area.\n\nSpeaker(s): Dr. Vishnu S. Pendyala\n\nVirtual: https://e
 vents.vtools.ieee.org/m/363162
LOCATION:Virtual: https://events.vtools.ieee.org/m/363162
ORGANIZER:pendyala@ieee.org
SEQUENCE:15
SUMMARY:Slowly changing dimensions and fast changing facts - the story of t
 he traditional data warehouse
URL;VALUE=URI:https://events.vtools.ieee.org/m/363162
X-ALT-DESC:Description: <br /><p>Free Registration: https://www.eventbrite.
 com/e/slowly-changing-dimensions-fast-changing-facts-the-story-of-the-clas
 sic-dw-tickets-649431084857</p>\n<p><em><strong>Synopsis:</strong></em></p
 >\n<p>The classic or traditional data warehouse is a crucial part of the d
 ata analytics supported decision making infrastructure in many organizatio
 ns. The classic data warehouse is still a key tool in generating actionabl
 e insights into an organization&rsquo\;s performance. This talk will detai
 l the rationale for having a data warehouse system distinct from other OLT
 P based operational systems in the organization\, provide insights into di
 mensional modeling\, and conclude with some recent developments in the are
 a.</p>
END:VEVENT
END:VCALENDAR