Every piece of data has a story to tell - but time series data tells it in motion. From tracking user behavior to monitoring stock market swings, understanding your application requires more than snapshots - you need the power to navigate through time at speed. Whether you're a backend developer, full stack engineer, or just getting started with data, this session will show you how modern time series databases make working with time-stamped data simple and scalable.

Using tools like InfluxDB, .NET & Grafana, you'll learn how to:

- Handle high cardinality (when unique tag combinations create millions of data points)
- Write data efficiently with line protocol and read it with SQL
- Scale from thousands to millions of data points without performance loss

See real-world examples as we build systems that can analyze the past, monitor the present, and predict the future - no data science background (or DeLorean) required. Perfect for developers discovering how to handle massive amounts of granular data efficiently and affordably.