Zoe Steinkamp

You'll hear how organizations are using these architectures to power faster insights, simplify data ingestion, and reduce query latency. Whether you're building a new lakehouse or optimizing an existing one, you'll leave with practical strategies to turn your data lake into a live analytics platform.

We'll cover real-world use cases from the ClickHouse community, walk through recent feature releases announced at Open House, and share guidance on when a specialized vector database is needed—and when ClickHouse alone is more than enough.

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?

We'll cover real-world use cases from the ClickHouse community, walk through recent feature releases announced at Open House, and share guidance on when a specialized vector database is needed—and when ClickHouse alone is more than enough.

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?

Columnar databases are on the rise! They provide an efficient and scalable data warehouse for many use cases including time series data. The problem? Many conventional database drivers and querying methods become the bottleneck for data processing and analytics within our client-side...

The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from wind speed and direction, vital body functions, illumination intensity, and temperature. In this session we will showcase how to build a fully functional sample IoT monitoring application built on the Flask framework and utilizing InfluxDB as its backend.