Category: Databases / Back-End Development

Meta description: Build a reliable analytics pipeline with SQL. Learn to handle duplicate records, late updates, data quality tests, and reporting before warehouse migration.

A dashboard can load quickly and still report the wrong number. A retried import might count an order twice. An update might arrive after the daily report has run. A join might multiply rows without producing a database error.

For developers moving application data into analytics, these problems deserve attention before platform selection. A larger warehouse can process an incorrect query faster, but it cannot decide what your metrics should mean.

This tutorial walks through a small order-reporting pipeline. You will define the grain of a dataset, handle repeated deliveries, select the latest record version, and test the output before exposing it to a dashboard.

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