KQL query pipeline: DP-600 study card

KQL query pipeline

Select, filter, and aggregate data by using KQL

Build as a left-to-right pipeline: filter, shape, aggregate, rank, and optionally render the result.

The core idea

KQL pipeline showing table, where, project or extend, summarize by, top N by, and render in left-to-right order.

passes a table from one operator to the next. Start with the source table, filter early with where, then shape columns with project or extend.

summarize ... by creates grouped aggregates. top N by selects the highest rows from whatever the previous steps produced.

Operator order changes the result. Filter before top when you need the top rows of the filtered set.

Click an underlined term for a one-line explanation, or see them all in the glossary .

operator order matters. Applying top before where ranks the unfiltered set, which can return different rows than filtering first.

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