Ep 13: Time-Series Databases for IIoT [ InfluxDB ] - Brian Gilmore ( Product Manager for IoT, InfluxData )

By nature, industrial facilities consist of physical assets and processes that evolve through time. Therefore, each data point generated by such systems is essentially a snapshot of events at that particular point in time.

By extension, this data wants to be stored in a way that reflects the sequential order of events, so that it can be rapidly queried and analysed, among many other reasons.

But yet, this isn't a capability that is inherently baked into the more common Relational and NoSQL databases. Hence the rise in popularity of Time-Series Databases for industrial Telemetry Data storage over the past few years.

At the forefront of this revolution is InfluxDB, an Open-Source Time-Series Database platform developed by InfluxData.

To understand how Time-Series Databases work, and InfluxDB in particular, I had a chat with Brian Gilmore who is the Product Manager for IoT at InfluxData.

Check out our full conversation in the video linked below.

Outline:
✔️ Characteristics of IIoT Data
✔️ Why Time-Series Databases Matter for IIoT
✔️ Common IIoT Use Cases for Time Series Database
✔️ How to Plan an IIoT Data Architecture
✔️ InfluxDB Time-Series DB Platform
✔️ InfluxDB - Open Source vs Cloud vs Enterprise
✔️ InfluxDB Time-Series DB Migration
✔️ InfluxDB Deployment Options
✔️ Acquiring Industrial Telemetry Data into InfluxDB
✔️ Industrial Telemetry Data Enrichment in InfluxDB
✔️ InfluxDB Integration with Analytics & Visualisation Platforms
✔️ Factory-Floor to InfluxDB Data Pipeline