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Streaming Caffeine E2: Tun(Quix) and Jove(Timeplus)

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Manage episode 376867876 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.

Second episode of the new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffee The talk happened on Aug 24, online, with Tun (VP of Data/DevRel at Quix) and Jove(cofounder and Head of Product at Timeplus) 0:00:00 Intro of Tun and Quix 0:01:00 About coffee 0:04:00 Fast/slow coffee 0:05:40 Life as VP of Data 0:08:10 How Tun got to VP of Data 0:10:30 Surf, wave, storm, streaming 0:15:00 Snowboarding 0:17:00 data streaming in Europ vs US 0:27:00 Current23, Tun&Jove's talks 0:31:00 Music on Current23 0:33:00 Python and SQL 0:38:00 Custom code and security 0:39:50 Priority: who need what, when 0:40:40 Cloud, BYOC, localhost 0:50:20 Key personas, ICP 0:51:30 Data Eng, Platform Eng, Data Analysts, Data Scienists 0:52:00 ELT, ETL, EtLT 0:59:00 Try new things, don't reinvent wheels 1:00:00 Bubble tea,milk tea 1:02:10 Quix +Timeplus 1:02:52 SQL UDF, remote UDF, local UDF 1:09:10 Coffee to Code (C2C) 1:10:20 Wrap up. Streaming is cool. Talk to us 1:12:20 batch + streaming. Choose what best fits you

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8 episodes

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Manage episode 376867876 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.

Second episode of the new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffee The talk happened on Aug 24, online, with Tun (VP of Data/DevRel at Quix) and Jove(cofounder and Head of Product at Timeplus) 0:00:00 Intro of Tun and Quix 0:01:00 About coffee 0:04:00 Fast/slow coffee 0:05:40 Life as VP of Data 0:08:10 How Tun got to VP of Data 0:10:30 Surf, wave, storm, streaming 0:15:00 Snowboarding 0:17:00 data streaming in Europ vs US 0:27:00 Current23, Tun&Jove's talks 0:31:00 Music on Current23 0:33:00 Python and SQL 0:38:00 Custom code and security 0:39:50 Priority: who need what, when 0:40:40 Cloud, BYOC, localhost 0:50:20 Key personas, ICP 0:51:30 Data Eng, Platform Eng, Data Analysts, Data Scienists 0:52:00 ELT, ETL, EtLT 0:59:00 Try new things, don't reinvent wheels 1:00:00 Bubble tea,milk tea 1:02:10 Quix +Timeplus 1:02:52 SQL UDF, remote UDF, local UDF 1:09:10 Coffee to Code (C2C) 1:10:20 Wrap up. Streaming is cool. Talk to us 1:12:20 batch + streaming. Choose what best fits you

  continue reading

8 episodes

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In this episode, Jove chatted with Giannis, Streaming Data Architect at Ververcia, the original creator of Apache Flink. Giannis has been in the space for a loooong time: Pulsar/StreamNative/Flink/Aiven/Ververica. We talked about upcoming #Current23 (both of us will be there in person), #Flink #FlinkCDC #Debezium #Paimon #Database #DataWarehouse and many many more. (sorry there are some typo in the caption, such as Debezium. There is no way to edit the text in #Riverside , which I already raised the feature request via support)…
 
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…
 
Welcome to the latest episode of Streaming Cafe with your host, Jove! In this exciting interview, Jove is joined by a special guest, Yarosalv, Principal Software Engineer at Goldsky , to delve into the realm of data streaming, engineering challenges, and real-world experiences. Timestamps: 00:00:00 Welcome Yarosalv00:01:40 Yaroslav self-intro, Activision, Shopify, Goldsky 00:04:00 Yaroslav talk on Current23 and other talks he recommends00:14:20 Jove’s talk on Current23 00:16:00 Yaroslav blog00:18:40 Blog writing on Friday00:21:00 data streaming, streaming ETL 00:29:00 streaming vs batch, OLAP, CBO, JOIN, new challenges 00:36:00 data democratization, real-time insights for everyone, not just executives 00:36:55 data app vs data product00:39:10 next-gen AI is coming a data problem, Tesla e2e FSD v12 00:41:00 blockchain is a distributed app platform, late events in web3 00:50:00 tech community in Vancouver00:56:40 VLDB, Feldera, Materialize 01:00:17 data streaming in depth is not easy. How about streaming databases Yaroslav's talk on Current23 and other talks he recommends * Dynamic Change Data Capture with Flink CDC and Consistent HashingKeynote * Restate: Stream Processing, but for Microservices * Isolating Streaming Ingest and Queries Using RocksDB (Rockset) * Deeply Declarative Data Pipelines (LinkedIn, Ryanne Dolan) * Off-Label Data Mesh: A Prescription for Healthier Data (Confluent, Adam Bellemare) * Learnings of Running Kafka Tiered Storage at Scale (Uber) * Evolution of Streaming Pipeline at Lyft (Lyft)* Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable (Confluent) * Query Your Streaming Data on Kafka using SQL: Why, How, and What (Timeplus)…
 
Second episode of the new community driven video podcast: streaming caffeine. Talking about data streaming, data engineering, startup and coffee The talk happened on Aug 24, online, with Tun (VP of Data/DevRel at Quix) and Jove(cofounder and Head of Product at Timeplus) 0:00:00 Intro of Tun and Quix 0:01:00 About coffee 0:04:00 Fast/slow coffee 0:05:40 Life as VP of Data 0:08:10 How Tun got to VP of Data 0:10:30 Surf, wave, storm, streaming 0:15:00 Snowboarding 0:17:00 data streaming in Europ vs US 0:27:00 Current23, Tun&Jove's talks 0:31:00 Music on Current23 0:33:00 Python and SQL 0:38:00 Custom code and security 0:39:50 Priority: who need what, when 0:40:40 Cloud, BYOC, localhost 0:50:20 Key personas, ICP 0:51:30 Data Eng, Platform Eng, Data Analysts, Data Scienists 0:52:00 ELT, ETL, EtLT 0:59:00 Try new things, don't reinvent wheels 1:00:00 Bubble tea,milk tea 1:02:10 Quix +Timeplus 1:02:52 SQL UDF, remote UDF, local UDF 1:09:10 Coffee to Code (C2C) 1:10:20 Wrap up. Streaming is cool. Talk to us 1:12:20 batch + streaming. Choose what best fits you…
 
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