Modernizing Without Disruption: A Practical Approach to Industrial Data Growth | SPONSORED
Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next — the volume, velocity, and variety of time series data now generated by sensors, PLCs, and edge devices.
Replacing these systems isn’t always feasible. The risk of downtime, the cost, and the complexity make it a last resort.
This new white paper, “Scaling Time Series for Industry 4.0: A Practical Guide to Historian Augmentation,” outlines a realistic alternative: augmenting existing historians with a modern time series database.
Readers will gain practical insight into how industrial teams are:
- Managing data from thousands of sensors across distributed sites, without overhauling existing systems
- Improving real-time visibility and performance by pairing historians with InfluxDB at the edge or in the cloud
- Starting small with parallel feeds or consolidation approaches — tested methods that reduce risk while adding capability
- Supporting predictive maintenance, anomaly detection, and unified dashboards across facilities
- Learning from real-world results — including how Siemens Energy unified time series data across 70+ sites
The guide provides clear architecture examples, deployment options, and scaling strategies that fit real operating conditions.
Download the white paper to see how industrial leaders are extending the life and value of their historian systems while preparing for the data demands of Industry 4.0.
Sponsored by InfluxData
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