Time-series data is everywhere — from IoT sensors and smart meters to telemetry and user analytics. But handling billions of samples efficiently, at scale, and in real time is no small thing.
In this demo-packed session, we’ll explore how ClickHouse Cloud can serve as a lightning-fast, analytics engine for massive time-series workloads — and how it integrates seamlessly with Microsoft Azure to deliver both performance and flexibility.

We'll discuss architecture, ingestion patterns and best practices for data storage. Showing how to perform query optimizations that make sub-second analytics possible — even over billions of data records.

Topics we will discuss:
- Best practices for modeling and storing time-series data in ClickHouse
- Performance tuning tips, from compression codecs to materialized views
- Live demos of high-volume data processing and real-time aggregation queries