What type of data can Amazon Lookout for Metrics specifically be utilized with?

Amazon Lookout for Metrics is designed to analyze metrics for anomalies and trends, and it is specifically utilized with time-series data, which is often structured in nature. It excels in monitoring and evaluating data over time to identify significant deviations from established patterns.

In practice, time-series data can include various types of structured data, such as sales numbers, traffic counts, or sensor data collected over time in a systematic way. Amazon Lookout for Metrics can handle different forms of structured time-series data, extracting insights by comparing current metrics with historical data.

While structured data, including time-series data, is essential for the tool's functionality, the choice indicating "both structured and unstructured data" is misleading. Unstructured data, such as text or images, is not suitable for analysis in the same way that structured numerical time-series data is. Therefore, while the tool primarily works with numerical, structured, time-series data, it does not inherently support unstructured data types in the same analytical capacity.