Scenario: A company is merging two separate databases into a single DB2 instance. How would you approach the normalization and denormalization process to integrate the data effectively while maintaining consistency and efficiency?
- Analyze the data from both databases to identify common fields and design a consolidated schema.
- Denormalize the merged database to simplify data access and streamline queries.
- Normalize each database individually, ensuring data integrity and minimizing redundancy.
- Split the merged database into separate schemas based on the original databases for easier management.
When merging databases, it's crucial to approach normalization and denormalization thoughtfully. Initially, normalizing each database individually ensures data integrity and minimizes redundancy. Then, analyzing the data from both databases helps identify common fields for designing a consolidated schema, maintaining consistency, and efficiency. Denormalization should be carefully applied, considering the specific requirements of the merged database to simplify data access and streamline queries without sacrificing data integrity.
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