A plant floor generates data every second. Tag values from PLCs, machine states, production counts: a constant stream Ignition has to historize somewhere that stays fast to query as years of history pile up. In this hands-on workshop, you'll connect Ignition to Tiger Cloud and build a SCADA historian that scales. You'll configure Tiger Cloud as an external database for Ignition, historize simulated tag data into it, and wire it to a real-time Perspective dashboard. You'll also learn the TimescaleDB primitives that make this stack hold up in production: hypertables for fast time-series ingestion, time_bucket() and last() for operational queries, and continuous aggregates that keep dashboards fast as more tags and machines come online. By the end, you'll have an Ignition server writing to and reading from a Tiger Cloud instance, tuned for real plant data, and a clear way to apply the same architecture to your own operation, whether you're historizing a production line, tracking OEE across a facility, or building the data layer for a plant-wide analytics system.