Web Reference: Jul 23, 2025 · Regular expressions in SQL provide a powerful mechanism for validating and extracting specific patterns from data. By using PATINDEX, LIKE, STUFF, and other SQL functions, we can easily validate email addresses, extract numeric values, or even filter out unwanted characters. Data validation is the method for checking the accuracy and quality of data. It is often performed prior to adding, updating, or processing data. Similarly, when we want to merge data from disparate sources we often talk of ‘cleansing’ the data – in other words validating it. When validating data, we can check if the data is: 1. complete(ie no blan... Welcome to the ninth video in our SQL for Testers & Developers | Beginner-Friendly Guide playlist! 🚀 In this video, you'll learn how to validate data using SQL to ensure accuracy,...
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