Monday, September 29, 2025

Deep Dive Streaming Lakehouse

8:00 am

Expo Hall
8:00 am → 60 min

Check-in & Breakfast

9:00 am

Deep Dive
9:00 am - 4:00 pm

Data Streaming Fundamentals Training

Streaming Lakehouse
9:00 am - 4:00 pm

Streaming Lakehouse Workshop

12:00 pm

Expo Hall
12:00 pm → 60 min

Lunch Break

Tuesday, September 30, 2025

Deep Dive Use Cases AI + Stream Processing Streaming Lakehouse

8:00 am

Expo Hall
8:00 am → 60 min

Check-in & Breakfast

9:00 am

Keynote
9:00 am → 90 min

Data Streaming Summit Keynote

10:30 am

Keynote
10:30 am → 20 min

Fireside Chat with Reynold Xin: Lakehouse and Data Streaming

10:50 am

Expo Hall
10:50 am → 15 min

Coffee Break

11:05 am

Deep Dive
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 to Apache Iceberg Tables

11:50 am

Deep Dive
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

Real-Time Lakehouse Ingestion with StreamNative’s Classic Engine and Ursa

12:30 pm

Expo Hall
12:30 pm → 60 min

Lunch Break

1:30 pm

Deep Dive
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 PuppyGraph

AI + Stream Processing
1:30 pm → 25 min

Building Real-Time Data Architectures for AI Chat With FiveOneFour and StreamNative

Streaming Lakehouse
1:30 pm → 25 min

Unlocking Real-Time Insights: Unifying Streaming and Lakehouse analytics with Apache Doris

2:00 pm

Deep Dive
2:00 pm → 40 min

Unified Governance: Integrating Apache Pulsar with External Schema Registries

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

Deep Dive
2:45 pm → 40 min

Have Your Real-time OLAP and Upsert It Too

Use Cases
2:45 pm → 40 min

Real-Time Recommendation Systems: Transforming User Experience Through Session-Aware Data

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

Flink Streaming Ingestion to Cloud-lake at Scale

3:25 pm

Expo Hall
3:25 pm → 20 min

Coffee Break

3:45 pm

Deep Dive
3:45 pm → 40 min

Are Your Kafka Guarantees Actually Guaranteed?

Use Cases
3:45 pm → 40 min

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

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

Schema Management and Streaming Data Products

4:30 pm

Deep Dive
4:30 pm → 40 min

LazyLog: A New Shared Log Abstractions 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 SQL Changelog: Why should you care about them?

Streaming Lakehouse
4:30 pm → 40 min

High-throughput streaming Lakehouse with Apache Hudi

5:15 pm

Keynote
5:15 pm → 40 min

Streaming at the Crossroads: Can One Architecture Rule Them All?

5:55 pm

Expo Hall
5:55 pm → 65 min

Happy Hour

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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.