How does Amazon Lookout for Equipment work?
In this section, you will learn how Amazon Lookout for Equipment works by first looking at the different concepts manipulated by the service. Then, you will dive deeper into how these concepts are orchestrated together to build anomaly detection models. This section will then end with an overview of the pricing model used by this service.
Defining the key concepts
To build anomaly detection models, Amazon Lookout for Equipment deals with the following concepts and resources:
- Tags: A tag is the name of a time series and can be linked to a sensor, an equipment-monitored condition, or a process variable. In this chapter, we will use the terms tags, signals, and sensors indifferently.
- Datasets: A dataset is a container to host your time series data. The Amazon Lookout for Equipment algorithms use these datasets to train their models. Each dataset is defined by a schema where you can define the list of time series tags.
- Components...