Why are heterogeneous database migrations difficult

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⚹ Heterogeneous database migrations are difficult due to several reasons: ⚹ ‖ ▪ ⋮ **Schema Differences**: Different databases often have different schema designs, data types, and constraints, making it challenging to map one schema to another. ‖ ‖ ▪ ⋮ **Data Transformation**: Data may need to be transformed to fit the new schema, which can be complex and time-consuming. ‖ ‖ ▪ ⋮ **Data Integrity**: Ensuring data integrity and consistency during the migration process is crucial and can be difficult to maintain. ‖ ‖ ▪ ⋮ **Performance Issues**: Migrating large volumes of data can lead to performance bottlenecks, requiring careful planning and optimization. ‖ ‖ ▪ ⋮ **Compatibility**: Different databases may have different features, functions, and SQL dialects, making it hard to ensure compatibility. ‖ ‖ ▪ ⋮ **Downtime**: Minimizing downtime during the migration process is essential for business continuity, adding to the complexity. ‖ ‖ ▪ ⋮ **Testing and Validation**: Extensive testing and validation are required to ensure that the migration has been successful and that the new system works as expected. ‖ ⚹ These factors collectively contribute to the complexity and difficulty of heterogeneous database migrations. ⚹

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