There are three primary windowing functions: tumbling, hopping, and sliding. Both Spark and Stream Analytics can do windowing. Windowing allows you to look at aggregate functions such as average, count, and sum. It also allows you to look at minimum and maximum values. Windowing is a feature engineering technique to help make data more manageable. In this recipe, we are going to cover several tools for windowing and the ways to window.
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