Article Outline:
1. Introduction
2. Defining the Concepts
3. Architectural Differences
4. Operational Focus
5. Performance and Optimization
6. SQL Code Examples
7. Data Integrity and Normalization
8. Scalability and Storage
9. Use Cases and Real-World Applications
10. Choosing Between Database and Data Warehouse
11. Conclusion
This article ensures a comprehensive exploration of databases and data warehouses, highlighting their differences, operational uses, and optimal applications through descriptive content and practical SQL examples.
Keep reading with a 7-day free trial
Subscribe to AI, Analytics & Data Science: Towards Analytics Specialist to keep reading this post and get 7 days of free access to the full post archives.