1 year ago

The growth in popularity of time series data is driven by the increasing availability of sensors and other devices that generate data in real time, as well as the growing recognition of the value in predicting future trends. Time series analysis is a more rigorous and structured approach to understanding patterns than simply charting a measurement over time.

Time series analysis of data from real-time data feeds can be used to make informed decisions about business processes and operations.

Any analytical database that you pick for time series analysis needs to offer date and time functions that make it easy to wrangle time series data.

Smoothing Data: Window functions are also useful for smoothing noisy time series data by applying a rolling average over the window of data points.