Monday, September 29, 2025

Use Cases AI + Stream Processing

9:00 am

Use Cases
9:00 am - 4:00 pm

Data Streaming Fundamentals Training

AI + Stream Processing
9:00 am - 4:00 pm

Data Streaming Hackathon: When Agents Meet Streaming

Tuesday, September 30, 2025

Main Hall Use Cases AI + Stream Processing Streaming Lakehouse

8:00 am

Main Hall
8:00 am → 60 min

Breakfast

9:00 am

Main Hall
9:00 am → 90 min

Data Streaming Summit Keynote

10:30 am

Main Hall
10:30 am → 30 min

Fireside Chat with Reynold Xin: Lakehouse and Data Streaming

11:05 am

Main Hall
11:05 am → 40 min

Mastering Key-Ordered Message Processing in Apache Pulsar

Use Cases
11:05 am → 40 min

Next-Gen Data Infra: Building Resilient, Scalable Architecture with Apache Pulsar at Blueshift

AI + Stream Processing
11:05 am → 40 min

From Events to Autonomy: Building an Event‑Driven Runtime for Fully Autonomous Agents

Streaming Lakehouse
11:05 am → 40 min

Streaming with Apache Iceberg

11:50 am

Main Hall
11:50 am → 40 min

Everything You Wanted from Broker-Side Filtering (and More): Building Personalized Feeds with Apache

Use Cases
11:50 am → 40 min

Streaming to Scale: Real-Time Infrastructure for AI

AI + Stream Processing
11:50 am → 40 min

Beyond Stream Ingestion: Building Google-Scale, AI-Powered Stream Processing Pipelines with Just SQL

Streaming Lakehouse
11:50 am → 40 min

From Pulsar to Lakehouse: Building a Unified Streaming and Storage Engine with Ursa

12:30 pm

Main Hall
12:30 pm → 60 min

Lunch Break

1:30 pm

Main Hall
1:30 pm → 25 min

Solve a crime in 15 mins live with Kafka and AI

Use Cases
1:30 pm → 25 min

A Survey of Cybersecurity Data Infra and How to Simplify It with Ursa and Graph

Streaming Lakehouse
1:30 pm → 25 min

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

2:00 pm

Main Hall
2:00 pm → 40 min

Beyond CAP: A New Theorem for Modern Data Streaming

Use Cases
2:00 pm → 40 min

Kafka Under Pressure: Netflix's Blueprint for Unshakeable Kafka Resilience

AI + Stream Processing
2:00 pm → 40 min

The Need for Speed: Optimizing Apache Flink for Low-Latency Stream Processing

Streaming Lakehouse
2:00 pm → 40 min

StreamLink: Real-Time Data Ingestion at OpenAI Scale

2:45 pm

Main Hall
2:45 pm → 40 min

Unified Governance: Integrating Apache Pulsar with External Schema Registries

Use Cases
2:45 pm → 40 min

Real-time User Behavior Tracking for AI-Driven In-Session Product Recommendations and Insights

AI + Stream Processing
2:45 pm → 40 min

Insights from streaming 300B telemetry trace spans per day with Flink

Streaming Lakehouse
2:45 pm → 40 min

High-throughput streaming in Lakehouse with Non-Blocking Concurrency Control in Apache Flink & Hudi

3:25 pm

Main Hall
3:25 pm → 20 min

Coffee Break

3:45 pm

Main Hall
3:45 pm → 40 min

Are Your Kafka Guarantees Actually Guaranteed?

AI + Stream Processing
3:45 pm → 40 min

Safe Streams at Scale: Uber’s Deployment Safety Framework for Flink Jobs

Streaming Lakehouse
3:45 pm → 40 min

Iceberg Meets Streaming: Native Ursa Integration with Unity Catalog for Managed Tables

4:30 pm

Main Hall
4:30 pm → 40 min

LazyLog: A New Log Abstraction for Low-Latency Applications

Use Cases
4:30 pm → 40 min

Complex Business Requirements + Lots of Data = High Cost? Not necessarily, here is why.

AI + Stream Processing
4:30 pm → 40 min

Flink changelog modes and why should you care about them?

5:15 pm

Main Hall
5:15 pm → 40 min

Closing Keynote/Panel

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Apache, Apache Pulsar, Apache Kafka, Apache BookKeeper, Apache Flink, and associated open source project names are trademarks of the Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event.