Yelp processes large amounts of real-time and historical data to support search, recommendations, and user experiences. As the demand for quicker insights and faster decision-making increased, their old system fell short. This led to a transition to a unified and scalable Streamhouse approach.
Join Yelp’s engineering leaders and Ververica’s streaming experts for a discussion on why Yelp updated its data platform, the challenges they encountered, and the real-world effects of moving to a Streamhouse architecture. This includes performance improvements and better productivity for developers.
This event is ideal for data engineers, architects, and technical leaders looking for practical lessons from a major enterprise transformation.
On the webinar:
- Discover the story behind Yelp’s data platform evolution. Learn why the shift happened, what challenges arose, and how the Streamhouse model changed their architecture.
- See how a unified data approach allows for scalability, faster insights, and greater developer efficiency in modern data-driven organizations.
- Ask your questions directly to Yelp’s engineering leaders and gain insights from their real-world experience.
Giannis Polyzos

Speaker
Giannis is a Principal Streaming Architect and Apache Fluss PPMC. He helps companies modernize their data infrastructure by leveraging streaming technologies and enabling them to build fast and scalable data pipelines, streaming data flows, and deliver real-time analytics.
Umesh Dangat

Speaker
Register now
Platform: Zoom
Timezones: 10:00 AM PST (7:00 PM CET)
Date: Tuesday, 16 December 2025
