ETL tools play a vital role in data management by gathering data from multiple sources such as databases, cloud storage, and third-party applications. These tools extract raw data in various formats, transform it by cleaning, removing duplicates, and standardizing the structure, ensuring quality and consistency. After transformation, the data is then aggregated and loaded into centralized data warehouses or data lakes for analysis and reporting, enabling more efficient and accurate decision-making.
