Scalable Data Analytics with Azure Data Explorer

Chapter 6: Introducing Time Series Analysis

In the previous chapter, we introduced Kusto Query Language (KQL) and learned how to search for and filter our data using the search and where operators. Although we only scratched the surface, we introduced some of the common string, numeric, date, and time operators that help us build complex search predicates. We also saw how we can render graphs to help visualize our result sets. We can accomplish a lot with these skills in that we can review our inventory in Azure Resource Graph and create monitoring alerts in Azure Monitor.

But what if we want to analyze our data, look at the historical and current patterns, and make forecasts for the future? This is where time series analysis can help. In this ...