Conferences / Beam Summit
Beam Summit 2026
Jun 22–23, 2026 · Google St. John's Terminal, New York, NY, United States
- Conference
- Beam Summit Database
- Dates
- Jun 22, 2026 – Jun 23, 2026
- Venue
- Google St. John's Terminal
- Place
- New York, NY, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- beamsummit.org
- Recorded
- 7 sponsors · 40 speaker appearances
- Notes
- Theme 'Expanding the Data Ecosystem'. In person only. Joey Raso (Waymo) keynote per organizer recap. Full session list from beamsummit.org/sessions/2026/.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| In-person (free) | $0 | — | FAQ: Beam Summit is free | beamsummit.org |
Sponsors 7
Platinum 1
Community 5
- Apache Software Foundation · Community Partners
- Clowder · Community Partners
- DevITJobs · Community Partners
- MavenCode · Community Partners
- Packt · Community Partners
Other 1
- Intuitive.Cloud · Talent
Speakers and talks 40
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Joey Raso | Waymo | Keynote | Dataflow in Self-Driving: A Look at Waymo's Stateful Time-Series Processing | SlidesVideo |
| Aditya Patil | New Jersey Cybersecurity and Communications Integration Cell | Speaker | From Raw Logs to Model Inference: Building a DGA Detection ML Pipeline with Beam | SlidesVideo |
| Ahmed Abualsaud | Speaker | Introducing a Modern SQL Experience in Apache Beam | SlidesVideo | |
| Ahmed Abualsaud | Speaker | Zero-Copy Iceberg Migrations with Apache Beam | SlidesVideo | |
| Ashwin Sampathkumar | — | Speaker | Role of Apache Beam in Agentic AI Era | SlidesVideo |
| Brad Miro | Speaker | Building an Open Lakehouse powered by Apache Iceberg and Apache Beam | SlidesVideo | |
| Canburak Tumer | — | Speaker | From Binary to Breach Detection: Normalizing OT and Mixed Logs for SecOps with Apache Beam | SlidesVideo |
| Canburak Tumer | — | Speaker | From Prompts to Pipelines: Scaling Data Engineering via Agent Skills | Slides |
| Canburak Tümer | Speaker | From Binary to Breach Detection: Normalizing OT and Mixed Logs for SecOps with Apache Beam | SlidesVideo | |
| Canburak Tümer | Speaker | From Prompts to Pipelines: Scaling Data Engineering via Agent Skills | Slides | |
| Charles Adetiloye | MavenCode | Speaker | Agentic Beam YAML Pipelines for Real-Time Predictive Intelligence on Streaming Data | SlidesVideo |
| Charles Adetiloye | MavenCode | Speaker | The Autopilot Never Complained: Replay, Reason, Refly with Apache Beam | Slides |
| Claude van der Merwe | Speaker | Buffering Data by Timestamp: A Step Towards Time Series Processing in Beam | SlidesVideo | |
| Danny McCormick | Speaker | Agentic Workflows in Beam: The Opportunity Ahead of Us | SlidesVideo | |
| Ian MacDonald | — | Speaker | The Autopilot Never Complained: Replay, Reason, Refly with Apache Beam | Slides |
| Israel Herraiz | Speaker | From Prompts to Pipelines: Scaling Data Engineering via Agent Skills | Slides | |
| Jack McCluskey | Speaker | The Present and Future of Beam Python Performance | SlidesVideo | |
| Jay Jayakumar | Speaker | The Agent-Driven Pipeline: Real-Time Data Validation & Modeling using Apache Beam, MCP, and GenAI | — | |
| JB Onofre | — | Speaker | The Apache Lakehouse Ecosystem and Apache Beam's Role in It | SlidesVideo |
| JB Onofré | — | Speaker | The Apache Lakehouse Ecosystem and Apache Beam's Role in It | SlidesVideo |
| Jiufeng Liu | Intuit | Speaker | Streaming CDC at Scale | SlidesVideo |
| Jonathan Sudhakar | Angler AI | Speaker | Beam + Spanner in Production: Multi-Tenant Identity Resolution and Resilient Ad Platform Activation | Slides |
| Kenneth Knowles | Speaker | State of the Project: Beam in the age of agents | SlidesVideo | |
| Pablo Costamagna | Speaker | The Agent-Driven Pipeline: Real-Time Data Validation & Modeling using Apache Beam, MCP, and GenAI | — | |
| Pablo Rodriguez Defino | Speaker | Scaling near-duplicate detection using Apache Beam | SlidesVideo | |
| Pallav Anand | — | Speaker | Beyond the Black Box: How Intuit Credit Karma Runs ML Explainability for 140M Members with Beam | SlidesVideo |
| Puneet Singh | Intuit | Speaker | From Reactive to Proactive: How Intuit Credit Karma Solved Data Quality at Scale | SlidesVideo |
| Raj Katakam | Intuit | Speaker | Beyond the Black Box: How Intuit Credit Karma Runs ML Explainability for 140M Members with Beam | SlidesVideo |
| Raniya Rehman | New Jersey Cybersecurity and Communications Integration Cell | Speaker | From Raw Logs to Model Inference: Building a DGA Detection ML Pipeline with Beam | SlidesVideo |
| Ryan Wigglesworth | Speaker | Maximizing Performance, Reliability, and Scalability with Dataflow Streaming | SlidesVideo | |
| Samir Sengupta | SyGenticAI | Speaker | Real-Time AI Pipelines at Scale: Embedding LLMs into Apache Beam for Live Inference | SlidesVideo |
| Shunping Huang | Speaker | Buffering Data by Timestamp: A Step Towards Time Series Processing in Beam | SlidesVideo | |
| Siddharth Gargava | Amazon Web Services | Speaker | Building Agentic Data Pipelines: Orchestrating AI Workflows with Apache Beam | SlidesVideo |
| Tarun Annapareddy | Speaker | Scale Smarter: RateLimiting AI Inference at Scale | SlidesVideo | |
| Tom Stepp | Speaker | Maximizing Performance, Reliability, and Scalability with Dataflow Streaming | SlidesVideo | |
| Valentyn Tymofieiev | Speaker | Using Python Memory Profilers with Apache Beam | SlidesVideo | |
| Veenit Shah | Intuit | Speaker | From Reactive to Proactive: How Intuit Credit Karma Solved Data Quality at Scale | SlidesVideo |
| Vineel Arekapudi | Wells Fargo | Speaker | 'Beam'-ing Iceberg Tables Across Environments Using Project Nessie | SlidesVideo |
| Yi Hu | Speaker | Evolution of the broad Beam Streaming IO Ecosystem towards production readiness | SlidesVideo | |
| Yogesh Tewari | Speaker | GraphFlow & Beam: Pythonic, Scalable GNN Pipelines | SlidesVideo |