Summary
In this chapter, you learned how to prepare your historical data so that Amazon Lookout for Metrics can use it to perform backtesting. You also developed a good understanding of the e-commerce dataset that we will continue to use throughout this part dedicated to anomaly detection. You also got initial hands-on experience of Amazon Lookout for Metrics as you learned how to create a detector and how to connect it to a data source. You also learned how to configure an alert so that you can react when an anomaly is detected.
This chapter was key to understanding and manipulating the key concepts used by Amazon Lookout for Metrics (detectors, data source, alerts).
In the next chapter, you are going to switch your detector into a live detection mode and you are going to learn how to visualize the detected anomalies and provide feedback to the service.