Saudi Digital Library - ETL Process

The ETL process extracts data from the source database for each dimension and fact table, transforms the data as needed (e.g., cleansing, formatting), and loads it into the corresponding tables in the data warehouse. This process ensures that the data is consistent, accurate, and ready for analysis.

Key Points:

Data Warehouse Structure: The data warehouse follows a star schema or snowflake schema, with dimension and fact tables organized to support analytical queries.

ETL Process: SSIS is used to automate the extraction, transformation, and loading of data.

Data Quality: The ETL process includes data cleansing and validation steps to ensure data quality.