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Logical Model

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Entity | Attribute | Data type | Time | DateDate descriptionMonthMonth descriptionYearWeekWeek description | DATE_ID: INTEGERDATE_DESC: VARCHAR(30)MONTH_ID: IINTEGERMONTH_DESC: VARCHAR(30)YEAR: INTEGERWEEK_ID: INTEGERWEEK_DESC: VARCHAR(30) | Product | Product IDProduction DescriptionCategoryCategory descriptionUnit priceCreated | PRODUCT_ID: INTEGERPROD_DESC: VARCHAR(50)CATEGORY_ID: INTEGERCATEGORY_DESC: VARCHAR(50)UNIT_PRICE: FLOATCREATED: DATE | Sales | Store IDProduct IDDateItems soldSales amount | STORE_ID: INTEGERPRODUCT_ID: INTEGERDATE_ID: INTEGERITEMS_SOLD: INTEGERSALES_AMOUNT: FLOAT | Store | Store IDStore DescriptionRegionRegion namecreated | STORE_ID: INTEGERSTORE_DESC: VARCHAR(50)REGION_ID: INTEGERREGION_NAME: VARCHAR(50)CREATED: DATE |
Logical/Physical data model:

Logical data model:
A logical data model describes the data in as much detail as possible, without regard to how they will be physical implemented in the database. Features of a logical data model include: * Includes all entities and relationships among them. * All attributes for each entity are specified. * The primary key for each entity is specified. * Foreign keys (keys identifying the relationship between different entities) are specified. * Normalization occurs at this level.

The steps for designing the logical data model are as follows: 1. Specify primary keys for all entities. 2. Find the relationships between different entities. 3. Find all attributes for each entity. 4. Resolve many-to-many relationships. 5. Normalization.

Physical data model:
It represents how the model will be built in the database. A physical database model shows all table structures, including column name, column data type, column constraints, primary key, foreign key and relationships between tables. Features of a physical data model include: *…...

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