Data Engineering Template:

Use Windows Functions to Compute Dips and Increases in Data Value Over Time

Window functions example Flow The flow view of this template

window functions (prev, next), select

This flow example shows how you can use window functions prev and next to compute value differences between current row vs the previous row, or current row vs the next row. This is a very common use case when you need to calculate dips and increases over different granularities of time.

For more information, please see transformation function documentation for prev and next.

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