As a data engineer, your job isn’t just to move data around—you’re responsible for keeping it accurate, fresh, and in top shape. Whether you’re prepping a dataset for a data pipeline, scrubbing outdated records from a staging table, or loading a fresh batch into a warehouse, DML commands (INSERT
, UPDATE
, DELETE
) are your go-to SQL tools.
These aren’t just boring commands—they’re like the surgical tools in a data engineer’s kit. Use them right, and your data systems hum along like a well-oiled machine.
Sample table
Before we dive in, meet the table we’ll be working with—think of it as a temporary parking spot for incoming product data before it’s transformed and pushed to production.
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