Apache Kafka® x Apache Flink® x Apache Doris Meetup

Hello everyone! Join us for an IN PERSON Apache Kafka® x Apache Flink® x Apache Doris Meetup on Oct 9th from 7:00pm, hosted by Klook!

📍 Venue:
Klook
71 Robinson Road, #06-03, Singapore, Singapore 068895, SG

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🗓 Agenda:

• 19:00pm-19:30pm: Food, Drinks & Networking
• 19:30pm-19:50pm: Matt Yi, Cofounder & Tech VP, VeloDB
• 19:50pm-20:10pm: Mei Bo, Data Engineer, TikTok
• 20:10pm- 20:30pm: Naveen Nandan, Staff Solutions Engineer, Confluent
• 20:30pm-21:00pm: Additional Q&A / Networking

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💡 Speaker:
Matt Yi, Cofounder & Tech VP, VeloDB

Talk:
Unlocking Real-Time Insights: Apache Doris in Stream and Lakehouse Integration

Abstract:
Apache Doris is a real-time data warehouse designed for lakehouse architecture. With its robust data processing capabilities, Apache Doris offers high-performance online analytical services not only for self-managed table formats but also for leading open lake formats such as Iceberg, Hudi, and Delta Lake. In this session, I will provide a detailed overview of the technical approach behind the Apache Doris lakehouse architecture. Additionally, I will demonstrate how to integrage streaming platform, AWS S3 Tables, and Apache Doris to construct a real-time lakehouse system. This enables users to perform rapid, real-time data exploration and make informed decisions based on the data.

Bio:
Matt Yi is an Apache Doris PMC member and Tech VP at VeloDB, the commercial supporter of Apache Doris. He has been deeply involved in the development of the Apache Doris project, leading and contributing to numerous core features. His work has driven significant performance enhancements and optimizations, enabling Apache Doris to excel across diverse application scenarios. With over a decade of engineering experience, Matt is also a seasoned development engineer who has previously held roles at Microsoft and other global tech leaders.

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💡 Speaker:
Naveen Nandan, Staff Solutions Engineer, Confluent

Talk:
All you need to know about Schemas in Kafka - taking Operational Data into the Analytical World

Abstract:
In this talk let's dive deeper through some real-world examples of how schemas in Kafka provide the foundation to transforming operational data into analytical insights by handling multiple message formats, inferring schemas on-the-fly, catering to schema-on-write vs. schema-on-read, exchanging metadata consistently and securely across multiple systems and managing schema evolution to ensure compatibility for your data pipelines.

Bio:
TBC

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💡 Speaker:

Mei Bo, Data Engineer, TikTok

Talk:
All-in-One Real-Time Data Products with Apache Doris

Abstract:
In this talk, he will share how Doris empowers the next generation of data products through unified architecture, high performance, and simplicity.

Bio:
Mei Bo is a Data Engineer at TikTok, specializing in real-time data products. He has hands-on experience building all-in-one real-time analytics systems with Apache Doris.