Summary

In this chapter, you learned about the basics of working with time-series data in Redis. You learned how to insert data points into Redis Stack for Time Series and how to add labels to those data points to make them more easily identifiable and searchable.

You also learned about the aggregation framework in Redis for Time Series, which allows you to analyze and aggregate data points within a specified time range or time bucket using various statistical functions such as mean, sum, min, max, and standard deviation. By utilizing the aggregation framework, you can gain deeper insights into your time-series data and identify trends, patterns, and anomalies more easily.

Additionally, you discovered how to shrink your dataset while keeping important information. This is done by choosing a method for combining data (aggregation method) and setting a time period (time bucket) for organizing the data.

To help visualize these aggregations, you learned how to use RedisInsight...