Open Source Data Happy Hour - New York City
About this event
Open Source Data Happy Hour: enjoy food and deep technical talks Join us and kick start your day with a happy hour and practical discussions on Apache Kafka , ClickHouse , PostgreSQL and much more. Enjoy a session designed for data engineers, architects and technical decisions-makers like you, who want to address the challenges they face in data-infrastructure.
No high-level pitches but straight into practical discussions on how to build scalable, efficient open sourced-powered data platforms.
What we will cover: Deep dives into new features and upcoming technical roadmaps, including Aiven Inkless , Kafka, Apache Iceberg , OpenSearch , PostgreSQL , and ClickHouse Real case studies demonstrating how top engineering teams are solving core data problems with these stacks, including search, observability, and analytics use cases.
Optimization techniques for performance, cost-efficiency, and operational simplicity. So what are you waiting for? Secure your seat now!
What you'll learn
- Deep dives into new features and upcoming technical roadmaps, including Aiven Inkless , Kafka, Apache Iceberg , OpenSearch , PostgreSQL , and ClickHouse
- Real case studies demonstrating how top engineering teams are solving core data problems with these stacks, including search, observability, and analytics use cases.
- Optimization techniques for performance, cost-efficiency, and operational simplicity.
Topics covered
Frequently asked questions
Who is hosting Open Source Data Happy Hour - New York City?
Open Source Data Happy Hour - New York City is hosted by Aiven.
When is Open Source Data Happy Hour - New York City?
Open Source Data Happy Hour - New York City is scheduled for Thursday, March 5, 2026 at 12:30 AM.
Where does registration take place?
Registration or viewing is completed on Aiven's website.
What format is this event?
This is an in-person event at Chandelier Bar at SAINT, New York City, Chandelier Bar at SAINT, New York City, AMER, US.
Which topics does this event cover?
The event covers Data.
