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

-- 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)

: Cleaning data in the Silver Layer , such as standardizing "Yes/No" strings to booleans. Load : Inserting into the final Gold Layer tables. Building a Data Warehouse with Examples in SQL ...

: 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. -- Creating a Dimension Table for Products CREATE

To build a data warehouse, you first need to identify your business objectives, such as revenue forecasting or customer segmentation, to guide your design. A common approach is the , which organizes data into three layers: Bronze (raw), Silver (cleaned), and Gold (analytical/star schema). The Story: Building the "North Star" Sales Warehouse 1. Designing the Blueprint (Data Modeling) Load : Inserting into the final Gold Layer tables

moves data from raw sources (like CSVs or ERP systems) into your warehouse. Extract : Pulling raw data into the Bronze Layer .

Once loaded, you can query the "Gold" layer to answer business questions.

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).