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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You're reading from Artificial Intelligence for IoT Cookbook
Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
Read more about Michael Roshak
Author (1)
Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
Read more about Michael Roshak