Data Streaming Summit: San Francisco 2025

Data Streaming Summit: San Francisco 2025

📅 September 29–30, 2025

📍 Grand Hyatt at SFO

The premier data streaming + AI event of 2025 is coming to San Francisco! Join us for two days of innovation, community, and hands-on learning at the most open data streaming conference — bringing together builders from OpenAI, Netflix, Uber, Google, Salesforce, LinkedIn, Blueshift, Confluent, Ververica, StreamNative, and more.

What to Expect

🛠️ September 29 — Training & Workshop Day

Level up your skills with Data Streaming Fundamentals Training (for beginners) or dive deep in the Streaming Lakehouse Workshop (advanced, in partnership with AWS). Roll up your sleeves, collaborate with fellow engineers, and push the limits of streaming tech.

🎤 September 30 — Main Summit

Inspiring keynotes, including insights from Reynold Xin (Co-founder & Chief Architect, Databricks) and industry leaders from OpenAI, LinkedIn, Motorq, and StreamNative. Explore 30+ technical sessions across four tracks — covering real-world case studies, deep-dive architectures, streaming + AI pipelines, and the Streaming Lakehouse.

Whether you’re designing next-gen pipelines, scaling infrastructure, or just stepping into the ecosystem, DSS: San Francisco is your front-row seat to the tools, trends, and thought leaders driving the real-time data revolution.

🚀 Connect • Learn • Build

Join us for two high-impact days at the Grand Hyatt SFO — and take your streaming expertise to the next level.

Sep 29: Data Streaming Fundamentals Training

A beginner-friendly, hands-on introduction to the world of data streaming for developers who are new to Apache Kafka, Apache Pulsar, or Apache Flink. This fast-paced, full-day workshop blends concepts with coding exercises so attendees leave with runnable code, a fully configured local dev stack, and a clear path to production.

Time

📍 In-person at Grand Hyatt SFO

🕘 9:00 AM – 4:00 PM

Learning Modules

1. Kafka Protocol Essentials
2. Pulsar Fundamentals
3. Data Processing Fundamentals

Learning Outcomes

• Learn when to use the Kafka protocol vs. native Pulsar features
• Gain confidence publishing, subscribing, and transforming events
• Build your first stream processing application with Kafka/Pulsar + Flink

Prerequisites

• Experience: 1+ year in software development (any language)
• Laptop setup: Docker, JDK 11+, Python 3.10+, ability to install CLI tools
• A setup guide and sample repo will be provided one week before the event.

Sep 29: [Workshop] Build a Streaming Lakehouse on AWS with StreamNative Ursa and S3 Tables

An advanced, hands-on workshop for engineers and architects who want to go beyond fundamentals and explore how StreamNative Ursa integrates with AWS S3 Tables to power the Streaming Lakehouse. In this full-day session, you’ll get a deep dive into Ursa’s architecture, learn how it unifies streaming with Iceberg-based analytics, and leave with a working pipeline from real-time ingestion to lakehouse-ready tables.

Time

📍 In-person at Grand Hyatt SFO

🕘 9:00 AM – 4:00 PM

Workshop Agenda

1. Foundations of the Streaming Lakehouse
2. Iceberg and S3 Tables Deep Dive
3. Ursa Tables Deep Dive
4. StreamNative BYOC Deep Dive
5. Hands-On Lab

Learning Outcomes

• Master the Streaming Lakehouse paradigm with Ursa and S3 Tables
• Build an end-to-end pipeline from ingestion to Iceberg-compatible tables
• Apply best practices for operating Ursa with S3 on AWS
• Leave with working code and a reference architecture ready for production

Prerequisites

• Experience: Familiarity with Kafka/Pulsar and stream processing concepts
• Laptop setup: Docker, AWS account with S3 access, JDK 11+, Python 3.10+
• Setup guide and workshop repo will be provided one week before the event

Sep 30 — Main Conference

The main day of the Data Streaming Summit brings together the world’s leading practitioners and innovators to explore the future of real-time data, AI, and modern streaming architectures.

The day kicks off with keynotes from OpenAI, LinkedIn, Motorq, and StreamNative, along with a special fireside chat with Reynold Xin (Co-founder & Chief Architect, Databricks). Across four focused tracks, you’ll hear from builders at Netflix, Uber, Google, Salesforce, LinkedIn, Blueshift, Confluent, Ververica, StreamNative, and many more.

Tracks

• Deep Dive — Advanced internals, performance tuning, and architecture innovations.
• Use Cases — Real-world adoption stories and production-scale lessons.
• AI + Stream Processing — Streaming pipelines powering AI and intelligent applications.
• Streaming Lakehouse — Unifying real-time streams and lakehouse analytics (Iceberg focus).

Expect 30+ technical sessions covering everything from low-latency infrastructure and large-scale operations to streaming lakehouses, schema governance, and AI-driven pipelines. The day concludes with the Closing Panel Discussion: Streaming at the Crossroads, a DSS tradition where industry leaders share their perspectives on the state and future of data streaming.

Whether you’re an engineer, architect, or data leader, the conference day is your opportunity to learn, connect, and gain insights you can apply immediately to your own streaming journey.

🔍 Check the full schedule here: https://datastreaming-summit.org/event/data-streaming-sf-2025/schedule