Redis Stack as a Time Series Database
Redis Stack, as we learned in Chapter 1, Introducing Redis Stack, is also capable of handling a particular data type called time-series data points.
Time series are a sequence of data points collected and recorded over time at regular intervals. In a time series, the data points are typically measured by intervals ranging from hourly to daily, weekly, monthly, or yearly. Time-series data can represent various types of observations, such as stock prices, weather data, sales figures, or economic indicators, among others.
Time-series analysis is the process of using statistical techniques to study and forecast trends, patterns, and correlations within the data. This can help in understanding the underlying structure and behavior of the data, as well as making predictions about future values.
In this chapter, you will explore various aspects of Redis Stack for time series, including storing and managing data, understanding the use cases it...
