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The pipeline drops one CSV export per month into its own file, and the board deck needs one query that treats all three months as a single continuous quarter.
What you'll have at the end
One saved view stacking all three months into a single table, its row count checked against the three source counts added together, ready for the board deck's own queries to read from directly.
You need
Three separate, query-ready tables, one per month, each holding the same kind of order-level sales data.
Not covered
Removing an order that is genuinely duplicated within a single month's own export is a different problem UNION does not solve.
The same customer's order shows up three times
if a row is duplicated inside one month's own export rather than just split across months, this shows how to collapse it instead.
Track month over month growth with LAG
once the three months sit in one table with a month tag, this shows how to compare each month's total against the one before it.
Checked 26 Aug 2026
Part of the SQL for Data Analysis cookbook