Using sensors to measure various aspects of a process, known as instrumentation, plays a crucial role in the Industrial Internet of Things (IIoT). These sensors and applications produce a large amount of data that has the power to impact industrial processes. It is important for businesses to comprehend the features and structure of this data and how to efficiently analyze and utilize it to differentiate their business, drive improvements and optimizations, and generate value.
A timestamp is a common feature of data generated through instrumentation. This time series data plays a vital role in industrial observability and optimization. Industrial operators must understand this data to utilize it effectively and harness its potential—one way to effectively manage this large volume of data is by using a time series database (TSDB). We’ll discuss what options exist in that vein and provide some suggestions for different approaches to using these solutions.
