About this event
Open Lakehouse and AI in San Francisco — an in-person evening for data engineers and AI practitioners exploring real-time databases, data lakes, and Apache Iceberg.
IMPORTANT: Please Register on Luma to Attend: https://luma.com/c012vndg
The Open Source Analytics Community is excited to bring an evening of insights and networking to San Francisco. Real-time databases are converging with data lakes to lower storage costs, improve performance, and make data more accessible for AI and data science. Our speakers will share challenges, solutions, and real-world experiences as organizations move from closed storage systems to open formats like Apache Iceberg.
Speakers:
- Robert Hodges, CEO @ Altinity
- Kaisen Kang, Head of Query & Agent Team @ CelerData
- Éamon Ryan, Senior Principal Field Engineer @ Grafana
- Team member @ PostHog
Agenda:
- 6:00 pm - Check-in and networking
- 6:15 - 8:00 pm - Talks
- 8:00 - 9:00 pm - Networking
What you’ll gain:
- Practical insights into open lakehouse architectures and the role of Apache Iceberg in enabling data sharing across tools and teams
- Real-world stories from leaders in data engineering and AI applications
- Networking opportunities with peers building AI-enabled data platforms
Who should attend:
- Data engineers, AI practitioners, analytics engineers, and anyone curious about lakehouse solutions and open data formats
Format:
- In-person talks with ample Q&A, followed by networking to connect with peers and potential collaborators. Come prepared to discuss current data architectures, challenges in real-time analytics, and how open formats can lower costs while improving accessibility for AI workflows.
Registration:
- Please register via Luma: https://luma.com/c012vndg
- See the Meetup page for context: https://www.meetup.com/real-time-analytics-and-ai/events/313130921
Location:
- San Francisco, CA (city venue details to be announced on registration)
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