Data Warehouse
In plain terms
A central store optimized for analytics and reporting.
Going deeper
A data warehouse aggregates data from many sources into a structured form built for fast analytical queries, not transactions. It powers business intelligence.
Under the hood
Columnar, denormalized (star/snowflake schemas) and read-optimized; ETL loads cleaned data in.
Examples
BI reporting, Snowflake, Redshift, BigQuery, analytics, dashboards.
Think of it like...
Like a well-organized research library built for analysis, not day-to-day errands.