Data warehouse design involves creating a centralized repository for structured, filtered data that has already been processed for a specific purpose. This repository integrates data from one or more disparate sources, so that a unified view of the data can be presented for business intelligence and reporting purposes. Common design considerations include choosing an appropriate architecture (e.g., star schema, snowflake schema), defining ETL (Extract, Transform, Load) processes for data integration, and optimizing the data warehouse for query performance.
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