Data Cleansing in SQL Server

Data cleansing is essential for accurate analysis and decision-making. This guide covers techniques like removing duplicates, handling missing values, correcting inconsistencies, standardizing data formats, removing outliers, and validating data using SQL Server. Examples from the AdventureWorks2022 database illustrate these methods, ensuring data reliability and consistency.