Timing is Everything-Understanding Event-Time Processing in Flink SQL

Hello Friends!

Please join us for an IN-PERSON Apache Kafka® meetup on Thursday, July 25th from 5:30pm. We will meet at Confluent HQ on the Penthouse Patio in Mountain View for some Flink fun! Space is limited.

Venue:
Confluent Rooftop Patio!
899 W Evelyn Ave
Mountain View, CA
5th floor (In the event of inclement weather, we will meet in the Cloud Cafe, 1st floor directly behind the front desk)

***Please note******: It will be required for all attendees to sign an NDA upon arrival to the meetup**.********

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🗓 Agenda:

• 5:30pm: Doors Open
• 6:00pm-6:45pm: Sharon Xie, Decodable.
• 6:45pm - 7:30pm: David Anderson, Confluent
• 7:30pm-8:00pm: RAFFLE/Additional Q&A and Networking

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💡 Speaker for first talk:
Sharon Xie, Founding Engineer, Decodable

Title of Talk:
Timing is Everything-Understanding Event-Time Processing in Flink SQL

Abstract:
In the stream processing context, event-time processing means the events are processed based on when the events occurred, rather than when the events are observed (processing-time) in the system. Apache Flink has a powerful framework for event-time processing, which plays a pivotal role in ensuring temporal order and result accuracy.

In this talk, we will introduce Flink event-time semantics and demonstrate how watermarks as a means of handling late-arriving events are generated, propagated, and triggered using Flink SQL. We will explore operators such as window and join that are often used with event time processing, and how different configurations can impact the processing speed, cost and correctness.

Join us for this exploration where event-time theory meets practical SQL implementation, providing you with the tools to make informed decisions for making optimal trade-offs.

Bio:
Sharon is a founding engineer at Decodable. Currently she leads product management and development. She has over six years of experience in building and operating streaming data platforms, with extensive expertise in Apache Kafka, Apache Flink, and Debezium. Before joining Decodable, she served as the technical lead for the real-time data platform at Splunk, where her focus was on the streaming query language and developer SDKs.
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💡 Speaker for second talk:
David Anderson, Software Practice Lead, Confluent

Title of Talk: Coming soon!

Abstract: Coming soon!

Bio:
David is an Apache Flink committer and trainer who has helped dozens of companies learn how to work with Flink. Before discovering Flink in 2016, he worked as a data engineer, designing and building data pipelines for companies across Europe.

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DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.
NOTE: We are unable to cater for any attendees under the age of 21.
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