Third Normal Form (3NF)
Concepts covered: dmThirdNormalForm
3NF: No Transitive Dependencies 3NF is the most practically important normal form because it catches the most common data duplication pattern: a column that depends on another non-key column instead of the primary key. This applies to every table, not just those with composite keys. Consider an orders table where each order has a customer_id, customer_name, and customer_city. customer_name and customer_city depend on customer_id, not on order_id. They are transitively dependent: order_id determines customer_id, which determines customer_name. Alice's name and city are stored twice. If Alice moves to Portland, you must update every order row. Miss one and the data contradicts itself. The test for any non-key column: does this value depend directly on the primary key, or does it depend on an
About This Interactive Section
This section is part of the Normalization lesson on DataDriven, a free data engineering interview prep platform. Each section includes explanations, worked examples, and hands-on code challenges that execute in real time. SQL queries run against a live PostgreSQL database. Python runs in a sandboxed Docker container. Data modeling problems validate against interactive schema canvases. All content is framed around what data engineering interviewers actually test at companies like Meta, Google, Amazon, Netflix, Stripe, and Databricks.
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