REGEXP_LIKE patterns

Concepts covered: sqlRegexMatch

This expression keeps webinar signups whose email domains are orbit.ai or apollo.ai. Regex anchors (^ and $) guarantee full-string matches so you do not pull in typos like orbit.ai.fake. Regex Fundamentals Understanding regex concepts helps you write precise patterns that match exactly what you intend. What is Regex? The core idea is pattern matching: instead of searching for a literal string, you describe the shape of what you want. A regex pattern is a mini-program that the engine executes character by character against each input value, checking whether it matches the specified structure. Which pattern correctly matches emails from orbit.ai or apollo.ai? The examples below introduce these regex operators. Each operator has a specific purpose in describing pattern structure: Read vs Writ

About This Interactive Section

This section is part of the Filtering: Advanced 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.

How DataDriven Lessons Work

DataDriven combines four interview rounds (SQL, Python, Data Modeling, Pipeline Architecture) with adaptive difficulty and spaced repetition. Easy problems get harder as you improve. Weak concepts resurface until you master them. Your readiness score tracks progress across every topic interviewers test. Every lesson section ends with problems you solve by writing and running real code, not by picking multiple-choice answers.