What is Data Transformation? Definition, Types and Benefits

Data transformation refers to the process of converting raw data into a more usable and understandable format, often for the purpose of analysis and decision-making. Data transformation involves manipulating raw data in various ways, such as cleaning, structuring, aggregating, and standardizing it. The goal is to create a data set that is consistent, complete, and accurate, and that can be easily analyzed using various tools and techniques. 

Definition: 

The textbook definition of data transformation is “the process of converting or mapping raw data from one format, structure, or representation to another, in order to make it more useful, interpretable, or accessible.” It’s like taking raw ingredients and cooking up a delicious data dish – you gotta transform it to make it tasty!

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Source-link: https://www.highweber.com/education/what-is-data-transformation-definition-types-and-benefits/