Summary
This chapter introduced the basics of time series analysis. For a deeper dive into time series analysis and statistics, I highly recommend looking at some of the great titles published by Packt, such as Practical Time Series Analysis and Forecasting Time Series Data with Facebook Prophet.
In this chapter, we learned about moving averages and how moving averages can help reduce noise and make our time series data smoother. Reducing noise helps us identify the patterns and common traits of time series data, such as variations and seasonality. Furthermore, reducing the noise helps improve our accuracy when making forecasts.
Next, we learned how to render moving averages and line regressions in Log Analytics. Log Analytics requires a couple of extra steps to be performed in the query before the data is rendered to the charts due to the Data Explorer Web UI and Log Analytics having different user agents. Please see https://docs.microsoft.com/en-us/azure/data-explorer/kusto...