Data Transformation

Data transformation in data warehousing is the process of converting data from various sources into a consistent format that can be easily analyzed. This involves cleaning the data to remove errors, merging different datasets, and changing data types to ensure compatibility. Think of it as taking ingredients from different recipes and preparing them in a uniform way before cooking a meal. The goal is to organize and refine the data so that it provides meaningful insights when analyzed, enabling businesses to make informed decisions.