Description: The transformation algorithm is a set of rules or calculations used to modify, clean, and structure data in the context of extraction, transformation, and loading (ETL) processes. Its main function is to ensure that the data is consistent, accurate, and useful for subsequent analysis. These algorithms can include operations such as data normalization, format conversion, duplicate removal, and the application of mathematical or logical calculations. The importance of these algorithms lies in their ability to transform raw data into valuable information, facilitating informed decision-making within organizations. Additionally, they allow for the integration of data from various sources, ensuring that they align with the specific standards and requirements of each project. In environments where data quality is crucial, transformation algorithms become essential tools for any data management strategy, contributing to the efficiency and effectiveness of analytical processes.
