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In a data transformation project, you are tasked with implementing a data type conversion process to migrate customer data from a legacy system to Microsoft Fabric. The project has strict compliance requirements, and the data includes sensitive personal information. Additionally, the solution must support high query performance for real-time analytics. Considering these constraints, which of the following are key considerations when designing the conversion logic? (Choose all that apply)
A
Ensuring the data types of the source and target columns are compatible to prevent data loss during conversion.
B
Evaluating the impact of data type conversion on data accuracy and integrity, especially for sensitive personal information.
C
Designing the conversion logic to meet the project's performance requirements, ensuring it does not degrade query response times for real-time analytics.
D
All of the above.