The Data Streaming Summit Virtual 2025 Schedule is Now Live!

Theme: Unlocking Real-Time AI
📅 May 28–29, 2025 | 💻 Virtual Event

We’re excited to announce that the full schedule for Data Streaming Summit Virtual 2025 is now available!

After receiving an overwhelming number of high-quality submissions, we've expanded this year's event to two full days, featuring:

✅ 6 breakout tracks across two days
✅ 37+ breakout sessions
✅ Visionary keynotes
✅ Live speaker Q&A

This year's theme, "Unlocking Real-Time AI," explores how real-time data streaming is becoming the foundation for AI-native systems, analytics platforms, and intelligent architectures.

🌟 Keynotes You Can't Miss

• Data Streaming for the Agentic Era
  The StreamNative team shapes the vision for streaming-powered intelligent and agentic systems.
  
• A Deep Dive into Apache Flink 2.0
  Xintong Song (Alibaba), the release manager for Flink 2.0, discusses the future of Flink and unified stream processing.
  
• Pulsar as the Center of the Stack
  Jeff Bolle and Daniel Shaver (Q6 Cyber) share how Pulsar tamed 85+ billion cyberthreat records for real-time fraud prevention.
  
• Fluss: Reinventing Kafka for the Real-Time Lakehouse
  Jark Wu (Alibaba), introduces Fluss, reimagining Kafka for the streaming lakehouse worl
  
• Building the Next Generation of Real-Time Data Pipelines at Netflix
  Guil Pires and Sujay Jain (Netflix), show how Netflix combines Data Mesh and Streaming SQL for next-gen pipelines.
  
• Flink Safe Deployment at Uber
  Yusheng Chen (Uber) shares how Uber achieves safe, large-scale Flink deployments.
  

🧠 6 Curated Tracks Across Two Days

We’ve carefully organized the summit into six focused breakout tracks to cover the full spectrum of real-time data innovation:

1. & 2. Tech Deep Dives: Pulsar, Kafka, Ursa, Flink

This year, we’re running two "Tech Deep Dives" tracks to accommodate the volume of highly technical sessions. You'll find deep architectural insights, operational best practices, and innovations across Apache Pulsar, Apache Kafka, StreamNative Ursa, Apache Flink, Apache Spark, and more.

3. Use Cases: Real-Time Analytics

Real-world implementations of real-time data systems powering customer-facing analytics, threat intelligence, and other dynamic applications by leveraging data streaming.

4. Use Cases: Streaming Lakehouse

Sessions dedicated to integrating streaming with modern lakehouse architectures, with a special focus on Apache Iceberg and streaming ingestion patterns.

5. AI Track

Exploring how streaming architectures power Agentic AI systems - from event-driven agent orchestration to retrieval-augmented generation (RAG) pipelines.

6. Stream Processing Track

Focused on the future of stream processing frameworks like KStreams, KSQL, Flink, Spark, including unified streaming-batch models, state management innovations, and streaming SQL.

🚀 Register Now!

Whether you’re scaling real-time analytics, building agentic AI systems, or designing modern streaming architectures - Data Streaming Summit Virtual 2025 is the event you can’t miss.

👉 Explore the full schedule and register today!

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Let's shape the future of real-time data streaming together!