Data Warehousing Questions
ETL stands for Extract, Transform, and Load. In the context of data warehousing, ETL refers to the process of extracting data from various sources, transforming it into a consistent format, and loading it into a data warehouse for analysis and reporting purposes. This process involves extracting data from operational systems, applying data cleansing and transformation techniques to ensure data quality and consistency, and finally loading the transformed data into the data warehouse. ETL plays a crucial role in data warehousing as it enables organizations to consolidate and integrate data from multiple sources into a centralized repository for efficient analysis and decision-making.