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Streaming the Lake: Real-Time Data Meets Iceberg & GenAI

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Yingjun W.
Streaming the Lake: Real-Time Data Meets Iceberg & GenAI

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## Agenda

5:30 PM-6:00 PM Food, Drinks & Networking
​Begin your evening with some delicious pizza at 5:30 PM, sponsored by Celerdata

6:00-6:10 Opening and Introduction by Angela Chung, Head of International BD, APJ-China @AWS

6:10-6:40 Streaming to the Lakehouse: Real-Time Data Pipelines with RisingWave and Apache Iceberg by Ron Xing, Solution Director, APJ @RisingWave Labs
Highlights:
​As the modern data stack embraces open formats and decoupled components, organizations are looking for seamless ways to bridge streaming ingestion with analytics-ready storage.
​In this session, we’ll deep-dive into how RisingWave, a distributed SQL stream processing database, empowers developers to build real-time data pipelines that write directly to Apache Iceberg™. We’ll show how this unlocks fresh, low-latency datasets for consumption by a wide range of query engines—including systems like StarRocks—and how such architectures can run efficiently on cloud platforms like AWS.

6:40-7:20 Fuel Your AI with StarRocks — A Real-Time Lakehouse by Harvey Liu, StarRocks TSC Member & Staff Engineer @Celerdata
Highlights:
​AI workloads need scalability, low-latency queries, support for diverse data formats, and real-time ingestion. StarRocks is a high-performance lakehouse query engine optimized for modern AI data needs as well as BI, bridging different analysis needs in the age of Gen AI.
7:20-7:50 7:20-7:50 Data foundation for analytics and AI by Sean Chang, Solution Architect, Startup ASEAN @AWS

7:50 PM -8:15 PM Networking

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Real-Time Data + AI Singapore
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