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Data Warehouse Model Design Workflow

Design a dimensional model for a data warehouse with fact and dimension tables optimized for analytical queries.

advanced~180 mindata-warehousedimensional-modelworkflow

Objective

Design a star schema data warehouse model for efficient analytics.

Environment

  • Source data and business requirements
  • A data warehouse platform
  • Understanding of dimensional modeling

Steps

1. Identify facts

Determine the business processes that need measurement (sales, clicks, shipments).

Expected state: Fact tables are identified for each business process.

2. Identify dimensions

Define the descriptive attributes for each fact (time, product, customer, geography).

Expected state: Dimension tables are defined with attributes and hierarchies.

3. Choose grain

Select the most granular level of data for each fact table.

Expected state: The grain is chosen and documented for each fact.

4. Design keys

Choose between surrogate and natural keys for dimension tables.

Expected state: Key strategy is documented for each table.

5. Validate with queries

Test the model against representative analytical queries for performance and simplicity.

Expected state: The model supports the required analytical queries efficiently.

Decision points

Star or snowflake schema?

  • Star for performance
  • Snowflake for storage

Use star schema for query performance; snowflake only when storage is a primary concern.

Expected outcome

A dimensional data warehouse model is designed and validated against business requirements.

Verification

Run representative queries against the model and confirm they return correct results with good performance.

Cleanup

Revise the model if queries are slow or do not match business requirements.

Dimensional modeling for humans

A well-designed dimensional model makes business queries simple to write and fast to run.

Implementation Notes

This workflow provides a structured approach to ensure consistent results across team members and environments.

Common Pitfalls

Skipping verification steps or rushing through the process can lead to incomplete results. Always follow each step in order and verify before proceeding.

Quick Reference

# Execute the workflow steps as documented above
echo "Workflow completed successfully"