Windowing Operations over Timeseries Data, Part 2

This post is a continuation of the previous post, Windowing Operations over Timeseries Data in Paradigm4. Repeated from part 1 of the post:The SciDB array, showing elevation and time as dimensions Now, let’s look at how this array could be represented in SciDB, as...

Windowing Operations over Timeseries Data in Paradigm4

Windowing operations—aggregating functions over a rolling subset of data—are useful in many applications. For example, rolling average calculations can help smooth over short-term fluctuations, thereby revealing long-term trends. Sensors used for testing global...

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