In Entity Framework, the Map method is used to define the split between tables when performing Entity Splitting with Fluent API. This method is crucial for specifying how entity properties are mapped to columns in separate tables, allowing for a more granular control over the database schema and optimization of storage.

The Ensure method plays a critical role in scenarios involving Table Splitting in Entity Framework. It ensures data integrity across the split tables by managing how related entities are stored and retrieved, guaranteeing consistency in the database. This method is essential for maintaining data integrity and preventing issues such as orphaned records or inconsistencies between related entities.

When performing Entity Splitting, careful consideration of the database schema is necessary to optimize performance and maintainability. By carefully designing the schema, developers can ensure efficient storage and retrieval of data, minimize redundancy, and streamline database operations. This optimization is crucial for improving application performance and scalability while ensuring maintainability in the long term.

Entity Splitting involves splitting a single entity into multiple tables based on the usage frequency of its properties. This helps in enhancing data access efficiency by storing frequently used properties in a separate table, thus reducing the overall data retrieval time.

Entity Framework handles validation errors during the SaveChanges() method execution by throwing a DbEntityValidationException when there are validation errors encountered. This exception contains details about the validation errors, such as the entity, property, and error message, which can be used for debugging and handling errors gracefully.

Data Annotations play a crucial role in model validation within Entity Framework by providing a way to define validation rules directly within the entity classes. These annotations allow developers to specify constraints such as required fields, string length, range, and regular expressions, enabling Entity Framework to validate entities automatically before saving changes to the database.

Table Splitting allows splitting related properties of an entity into separate tables, enabling better data normalization by reducing redundancy. This separation ensures that each table represents a distinct entity, thereby contributing to improved data integrity and reducing data redundancy.

Table Splitting allows you to separate frequently accessed properties from less frequently accessed ones into separate tables. This optimization reduces data retrieval overhead by minimizing the amount of unnecessary data fetched from the database, thus enhancing performance for specific queries.

Model validation in Entity Framework primarily aims to ensure that the data being saved to the database adheres to predefined business rules and constraints, thus maintaining data integrity.

Data Annotations in Entity Framework enable automatic validation of entities by applying attributes to entity properties, defining validation rules that are checked before saving data to the database.