About
I'm Zoe Steinkamp, a Developer Advocate at ClickHouse, with a strong foundation in front-end software engineering. My mission is to empower developers by enhancing their experience with ClickHouse's high-performance database and real-time analytics capabilities. I also have a growing interest in data science. In my spare time, I love to travel and tend to my garden. Let's connect on LinkedIn—I'm eager to exchange insights and knowledge at both virtual and in-person events!
Sessions
From the Engine Room: Building the Future of Analytics at Scale
What does it take to power real-time insights at scale? In this talk, we'll step behind the scenes of a modern analytics platform and see how ClickHouse is evolving to meet the growing demands of real-time data processing. From architectural decisions to support streaming and high-cardinality workloads, to major new features, this session will look at the future of fast, scalable analytics — and how it's being built today.
Engineering the Future: Real-Time, Vector-Powered Analytics with ClickHouse
ClickHouse is powering the next wave of real-time analytics and AI-driven applications—and not just as a lightning-fast OLAP engine, but increasingly as a scalable vector database. In this talk, we'll explore how teams are using ClickHouse to handle massive, high-cardinality datasets and perform fast, cost-efficient vector search across multi-terabyte embedding stores.
Catalogs, Iceberg, and Delta: Building the Foundation for Lakehouse Analytics
Data lakes promise flexibility and scale—but without real-time capabilities, they risk becoming data swamps. In this session, we'll explore how ClickHouse integrates with modern lakehouse formats like Apache Iceberg and Delta Lake to unlock real-time, high-performance analytics.
High-Speed Data Engineering with ClickHouse
As a data engineer, you know the value of fast, flexible analytics — and you've probably heard that ClickHouse is built for exactly that. But what does it really take to make it work in your stack?
High-Speed Data Engineering with ClickHouse
As a data engineer, you know the value of fast, flexible analytics — and you've probably heard that ClickHouse is built for exactly that. But what does it really take to make it work in your stack?