Equals and not equals (=, !=)

Sometimes you need to find everything except a specific value. The not equals operator is the inverse of exact matching. Example Equals and Not Equals Understanding when to use each operator is essential. One finds matches while the other excludes them. Side-by-Side Comparison This same pattern works for any exclusion filter. Here we exclude trial accounts to show only paying customers. Alternative Syntax: <> In SQL, you can write "not equal to" in two ways. Both produce identical results: Understanding the difference between equals and not-equals helps you choose the right filter. Which syntax is the SQL standard for "not equal"? Now practice using the not-equals operator to exclude a specific status. Both equals and not equals comparisons are case-sensitive for text in most databases, so

About This Interactive Section

This section is part of the Filtering: Beginner 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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