Call for Speakers

in 3 months

Data Streaming Summit San Francisco 2025

event starts

29 Sep 2025

event ends

30 Sep 2025

location

Grand Hyatt at SFO San Francisco, California, United States


We’re excited to announce Data Streaming Summit San Francisco 2025 is returning September 29-30, 2025. This in-person event brings together data streaming enthusiasts, developers, and industry leaders from around the world to connect and share insights.

Do you have a story to share about data streaming technologies like Pulsar, Kafka, or Ursa, or stream processing frameworks like Flink or Spark? This year’s theme, "Unlocking Real-Time AI," focuses on innovative, insightful, and thought-provoking ideas.

Join us as a speaker and help shape the future of data streaming!

Why Speak at the San Francisco Summit?

As a speaker, you will receive:

  • A free conference pass to attend all sessions.
  • Your headshot, bio, and session details featured on the Data Streaming Summit website.
  • Promotion of your session across YouTube, Twitter, and LinkedIn.
  • The opportunity to share your expertise and engage with the vibrant data streaming community.

πŸ“… CFP Opens: Thursday, May 29th, 2025

πŸ“… CFP Closes: Friday, July 18th, 2025

πŸ“… Speaker Notifications Sent: Friday, July 25th, 2025

πŸ“… Schedule Announcement: Monday, August 11th, 2025


open, 18 days left
Call for Speakers
Call opens at 4:00 PM

29 May 2025

Call closes at 11:59 PM

18 Jul 2025

Call closes in Pacific Daylight Time (UTC-07:00) timezone.
Closing time in your timezone () is .

We invite submissions across the following themes:

πŸ”Ή Data Streaming + AI – The convergence of AI and data streaming is reshaping how organizations build intelligent, real-time systems. Share your experience using data streaming technologies to power AI-driven applications, real-time machine learning pipelines, or intelligent automation. How do you ensure trustworthy real-time data for AI assets? What are the best practices for integrating streaming data into AI models?

πŸ“– Learning Data Streaming (Pulsar, Kafka, Ursa, or more) – Are you passionate about educating others? Submit an entry-level talk introducing Pulsar, Kafka, or Ursa, covering key concepts, architectures, and best practices to help newcomers kick-start their data streaming journey.

πŸ” Deep Dive into Data Streaming – For technical experts, we invite advanced discussions on Pulsar, Kafka, Ursa Engine, and cutting-edge architectures such as leaderless streaming, lakehouse-native storage, and real-time data processing optimizations. How do you design scalable, high-performance streaming infrastructures? What challenges have you solved at scale?

🌊 Real-Time Ingestion into the Data Lakehouse – Streaming is the backbone of modern lakehouse ingestion, enabling AI and analytics teams to work with the most up-to-date and trustworthy data. We welcome talks on best practices, challenges, and architectures for integrating real-time streaming with data lakehouses like Delta Lake, Iceberg, and Hudi.

πŸ“– Unifying Governance and Access with Data Catalogs – As real-time and AI-driven data ecosystems grow, governance and unified access become critical. We invite talks on strategies for bridging real-time streaming with data catalogs and metadata management, ensuring data consistency, security, and AI readiness.

🐿 Stream Processing and Ecosystem – Have you built tools or integrations that enhance Flink, Spark, RisingWave, or other stream processing frameworks? Share your experiences in optimizing event-driven architectures, real-time analytics, and complex streaming pipelines. How do you balance latency, scalability, and cost-efficiency in stream processing?


Login with your preferred account


If you haven't logged in before, you'll be able to register.

Using social networks to login is faster and simpler, but if you prefer username/password account - use Classic Login.