ETL focuses on extracting, transforming, and loading data, while MDM focuses on managing and maintaining consistent and accurate master data.
ETL stands for Extract, Transform, Load, and refers to the process of extracting data from various sources, transforming it into a format that is suitable for analysis, and loading it into a data warehouse or database. ETL is primarily focused on the movement and transformation of data to ensure quality and consistency.
MDM, on the other hand, stands for Master Data Management and is a process that focuses on managing and governing the organization's master data, which is the key data that is essential to the business. MDM involves creating and maintaining a single, coherent view of an organization's master data, such as customer, product, or employee information, across different systems and processes. MDM helps ensure data consistency, accuracy, and reliability across the organization.
In summary, while ETL is concerned with the movement and transformation of data, MDM is focused on managing and governing the organization's critical master data to ensure consistency and accuracy. Both ETL and MDM are essential components of a successful data management strategy.