Apache Iceberg™ Meetup - Jan 2026

Hello everyone! Join us for an IN PERSON Apache Iceberg™ meetup on Jan 22nd from 6:30pm, hosted by Credit Agricole CIB in Singapore!

📍 Venue:
Mapletree Business City Blk 20 West
20 Pasir Panjang Road
Singapore, 117439 , Level 13

***
🗓 Agenda:

• 18:30pm-19:00pm: Food, Drinks & Networking
• 19:00pm-19:05pm: Welcome!
• 19:05pm-19:35pm: Siva Periyasamy, Head of Data Engineering and Data Platform, OCBC Bank
• 19:35pm-20:05pm: Shelvia Hotama, Senior Solutions Engineer, Confluent
• 20:05pm-20:35pm: Matt Yi, Tech VP, VeloDB
• 20:35pm-21:00pm: Networking

***
💡 Speaker:
Siva Periyasamy, Head of Data Engineering and Data Platform, OCBC Bank

Talk:
Unlocking Modern Data Lakes with Starburst, Iceberg & Ozone

Abstract:
TBC

-----
💡 Speaker:
Shelvia Hotama, Senior Solutions Engineer, Confluent

Talk:
Why Apache Iceberg Matters for Your Data

Abstract:
If you’re hearing about Apache Iceberg for the first time, think of it as a smarter way to manage large analytics tables on your data lake. It helps keep your data organized, reliable, and fast to query, without tying you to a single engine or vendor.

In this session, we’ll break down what Iceberg is in plain language, show how it’s different from older table formats, and walk through real examples of how it makes everyday data work easier. We’ll talk about things like safe updates, changing table schemas without pain, and “time travel” queries so you can see how your data looked in the past.

-----
💡 Speaker:
Matt Yi, Tech VP, VeloDB

Talk:
From Iceberg to AI: Accelerating Lakehouse Analytics and Hybrid Retrieval with Apache Doris

Abstract:
The Lakehouse architecture, powered by open table formats such as Apache Iceberg, has become the foundation for modern analytics and AI workloads. However, efficiently serving diverse query patterns, ranging from large-scale analytical SQL to text and vector retrieval, remains a key challenge.
In this talk, we introduce how Apache Doris enhances the Iceberg-based Lakehouse with high-performance query acceleration and materialized views, enabling faster and more cost-efficient analytics directly on open data. Building on this foundation, we explore Doris for AI: a unified engine that provides seamless access to structured, semi-structured, and unstructured data through hybrid search and analytics. Doris combines analytical queries, full-text search, and vector search in a single system, making it easier to support retrieval-augmented generation (RAG) and other AI-driven applications on Lakehouse data.
Finally, we share Doris’s roadmap toward deeper integration with open table formats. This includes plans for managed Iceberg tables and bringing native inverted and vector indexing capabilities directly to Iceberg data, enabling zero-copy, high-performance analytical and retrieval workloads. The session outlines how Doris aims to bridge analytics and AI on open data, turning the Lakehouse into a truly multi-modal data foundation.

***
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.
As the classroom is a mask-on setting, please be reminded that masks should still be worn at all times unless actively eating or drinking
NOTE: We are unable to cater for any attendees under the age of 18.

***
If you would like to speak or host our next event please let us know! [community@confluent.io](mailto:community@confluent.io)