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Streaming Caffeine E5: Leonid(Feldera) and Jove(Timeplus)

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Manage episode 376867873 series 3511111
Content provided by Jove Zhong. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jove Zhong or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Leonid, cofounder at Feldera, happened to be in Vancouver, to join VLDB, Very Large Database conference, and they won best paper award. Jove and Leonid met in Nero, a waffle shop, and talked about streaming processor, cloud, onprem, customers and many other topics. 00:00 meet in waffle shop 01:00 best paper in VLDB, incremental computation 06:00 incremental computing in Timeplus 07:00 challenges in incremental computing 08:24 what SQL Feldera can run 09:55, is Feldera, a stream processor or database? 13:00, streaming analytics vs. continuous analytics 14:30 about Jove and Timeplus 17:57 why not Flink 22:27 OSS 24:22 scale out 25:30 failover 26:40 schema drift 27:40 Timeplus streaming capabilities, join, time travel, unbounded query, bi integration 34:00 how Feldera handles adhoc query 37:12 customers 40:50 cloud and onprem 43:22 source/sink connectors, benthos and Debezium 49:10 streaming app server

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8 episodes

Artwork
iconShare
 
Manage episode 376867873 series 3511111
Content provided by Jove Zhong. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jove Zhong or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Leonid, cofounder at Feldera, happened to be in Vancouver, to join VLDB, Very Large Database conference, and they won best paper award. Jove and Leonid met in Nero, a waffle shop, and talked about streaming processor, cloud, onprem, customers and many other topics. 00:00 meet in waffle shop 01:00 best paper in VLDB, incremental computation 06:00 incremental computing in Timeplus 07:00 challenges in incremental computing 08:24 what SQL Feldera can run 09:55, is Feldera, a stream processor or database? 13:00, streaming analytics vs. continuous analytics 14:30 about Jove and Timeplus 17:57 why not Flink 22:27 OSS 24:22 scale out 25:30 failover 26:40 schema drift 27:40 Timeplus streaming capabilities, join, time travel, unbounded query, bi integration 34:00 how Feldera handles adhoc query 37:12 customers 40:50 cloud and onprem 43:22 source/sink connectors, benthos and Debezium 49:10 streaming app server

  continue reading

8 episodes

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