Building A Data Warehouse With Examples In Sql ... May 2026

A data warehouse typically uses a , consisting of a central Fact Table (quantitative data like sales) surrounded by Dimension Tables (descriptive data like products or dates).

: Stores metrics like price, quantity, and foreign keys. Building a Data Warehouse with Examples in SQL ...

moves data from raw sources (like CSVs or ERP systems) into your warehouse. Extract : Pulling raw data into the Bronze Layer . A data warehouse typically uses a , consisting

: dim_product , dim_customer , and dim_date provide context. 2. Laying the Foundation (SQL Table Creation) You start by defining these structures in your database. Extract : Pulling raw data into the Bronze Layer

-- Transforming and Loading: Standardizing product names to uppercase INSERT INTO dim_product (product_key, product_name, category) SELECT product_id, UPPER(p_name), category FROM raw_staging_products; Use code with caution. Copied to clipboard 4. The Final View (Analytical Querying)

-- Creating a Dimension Table for Products CREATE TABLE dim_product ( product_key INT PRIMARY KEY, product_name VARCHAR(100), category VARCHAR(50) ); -- Creating the Fact Table CREATE TABLE fact_sales ( sale_id INT PRIMARY KEY, product_key INT, customer_key INT, sale_amount DECIMAL(10, 2), sale_date DATE, FOREIGN KEY (product_key) REFERENCES dim_product(product_key) ); Use code with caution. Copied to clipboard 3. Moving the Earth (ETL Process)