Time-Series Examples
Time-series data, characterized by its chronological sequence and high generation frequency, differs from conventional data. This time-series data is crucial for forecasting and trend analysis in many financial services and Internet of Things (IoT) applications. MongoDB provides specialized features tailored for processing vast amounts of data and distinct query patterns, such as windowing, associated with time-series use cases. In this chapter, you will look at examples of how you can use aggregation pipelines to extract insight from time-series data.
In this chapter, you will learn about the following:
- Analyzing rolling windows of data
- Computing the power consumption of devices
- Tracking behavior changes of devices
