ETL

ETL (Extract, Transform, Load) is a key process in data management that begins with extracting data from various sources, such as databases, CSV files, or web applications. The data is then subjected to various transformation operations, including cleaning, normalization, source integration, and calculation of new columns. The purpose of this stage is to prepare the data for storage in the target system or data warehouse, ensuring its consistency, accuracy, and appropriate format. Finally, the transformed data is loaded into the target system, where it serves as the foundation for analysis, reporting, and business decision-making. The ETL process is essential for effective data management, enabling organizations to leverage information from diverse sources to achieve business objectives and generate value.