How our customers consolidate high frequency telemetry data for better monitoring and analytics

In this webinar, we will discuss some of the challenges around ingesting high volumes of high frequency sensor data into a centralized cloud data store.

Specifically, we’ll look at data normalization and downsampling as key steps in getting better data for monitoring, analysis and advanced ML and AI use cases. We will present real customer examples from industrial companies, taking a look at the challenges they faced and how they solved them. We will also do a technical demo of how you can normalize and downsample data with Quix.

Join this webinar if you are getting started with more advanced data use cases, but are struggling with cost or performance issues when it comes to getting all the relevant data!