BEGIN:VCALENDAR PRODID:-//Google Inc//Google Calendar 70.9054//EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:REQUEST BEGIN:VEVENT DTSTART:20221118T173000Z DTEND:20221118T183000Z DTSTAMP:20221109T051116Z ORGANIZER;CN=Clowder Events:mailto:c_m8k910vjcu6b4b7udo0kngo4d4@group.calen dar.google.com UID:64v3f8f2qiaq4cmlnoa0nqj...@google.com ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP= TRUE;CN=dev@beam.apache.org;X-NUM-GUESTS=0:mailto:dev@beam.apache.org X-MICROSOFT-CDO-OWNERAPPTID:-1038132639 CREATED:20221109T045819Z DESCRIPTION:<p dir="ltr"><b>Stateful feature backfill in Apache Beam</b></p ><p dir="ltr">In this session\, Ratul Ghosh and Harish Nagu Sana will expla in how backfill or state bootstrapping is an essential capability for strea ming applications where data retention for the source is limited to only a few days.</p><p dir="ltr">This capability will enable Data Scientists\, MLE s\, and Data Engineers to replay the feature-extraction streaming pipeline from archive. Some of the key use cases can be state-bootstrapping or itera ting the featurization logic to fine-tune the ML model training and inferen ce\, etc.</p><p dir="ltr">The key capability of the Apache Beam-based capab ility is transferring the internal state from backfill (batch) to stream.</ p>If you want to learn more about this event check out the <a href="https:/ /docs.google.com/document/d/1ATyPO0CaDOQ4m6drCT64m9vkbRo0eU4dZkxzIY7JB0Y/ed it" id="ow544" __is_owner="true">full agenda</a> LAST-MODIFIED:20221109T051114Z LOCATION:https://www.crowdcast.io/e/apache-beam-community-2 SEQUENCE:0 STATUS:CONFIRMED SUMMARY:🐝 Apache Beam Community Meetup: Stateful Feature Backfill TRANSP:OPAQUE BEGIN:VALARM ACTION:DISPLAY DESCRIPTION:This is an event reminder TRIGGER:-P0DT0H10M0S END:VALARM END:VEVENT END:VCALENDAR
invite.ics
Description: application/ics
