This project involves designing a database model for a grocery store to store, retrieve, and analyze data, enhancing decision-making and improving customer satisfaction. The model ensures efficient management of various data types relevant to store operations.
Key entities in the database include:
Products: Stores details such as product ID, name, category, price, quantity in stock, supplier details, and expiration dates.
Suppliers: Includes supplier ID, name, contact information, product categories supplied, and delivery schedules.
Customers: Contains customer profiles, including customer ID, name, contact details, purchase history, and loyalty program details.
Employees: Stores employee records, including employee ID, name, role, work schedule, and performance reviews.
Orders: Includes order ID, order date, delivery date, total amount, customer ID, and payment details.
Departments: Stores department ID, name, and aisle layout.
PRIMARY AND FOREIGN KEYS
Primary and foreign keys are essential for data integrity and relationship management:
Uniqueness: Ensures each record is uniquely identified, preventing duplicates.
Relationship Management: Establishes connections between entities, such as linking customers to orders.
Efficiency: Enhances query performance by using unique identifiers for retrieval.
Consistency: Maintains accuracy across updates, deletions, and merges.
Data Tracking: Facilitates accurate tracking of customer behaviors and order histories for better decision-making.
RELATIONSHIPS BETWEEN ENTITIES
Customer and Address: One-to-Many (A customer can have multiple addresses for deliveries.)
Customer and Orders: One-to-Many (A customer can place multiple orders, but an order belongs to one customer.)
Orders and Products: Many-to-Many (An order can contain multiple products, and a product can be included in multiple orders.)
Suppliers and Products: One-to-Many (A supplier can supply multiple products.)
Departments and Employees: One-to-Many (A department can have multiple employees, but an employee belongs to only one department.)
Departments and Products: One-to-Many (A department can contain multiple product categories.)
DATABASE MODELLING PHASES
The design process involved three phases:
Conceptual Phase: Defined the entities and their relationships.
Logical Phase: Described entity attributes, defined cardinality, and established constraints.
Physical Phase: Implemented the database schema and relationships.
DATABASE IMPLEMENTATION USING FORWARD ENGINEER TOOL
The database schema was implemented using MySQL’s Forward Engineer Tool, which:
Generates SQL scripts from an ERD (Entity-Relationship Diagram).
Creates tables, columns, and constraints automatically.
Deploys the database on MySQL Server for immediate use.
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This project involves designing a database model for a grocery store to store, retrieve, and analyze data, enhancing decision-making and improving customer satisfaction. The model ensures efficient management of various data types relevant to store operations.
Key entities in the database include:
Products: Stores details such as product ID, name, category, price, quantity in stock, supplier details, and expiration dates.
Suppliers: Includes supplier ID, name, contact information, product categories supplied, and delivery schedules.
Customers: Contains customer profiles, including customer ID, name, contact details, purchase history, and loyalty program details.
Employees: Stores employee records, including employee ID, name, role, work schedule, and performance reviews.
Orders: Includes order ID, order date, delivery date, total amount, customer ID, and payment details.
Departments: Stores department ID, name, and aisle layout.
PRIMARY AND FOREIGN KEYS
Primary and foreign keys are essential for data integrity and relationship management:
Uniqueness: Ensures each record is uniquely identified, preventing duplicates.
Relationship Management: Establishes connections between entities, such as linking customers to orders.
Efficiency: Enhances query performance by using unique identifiers for retrieval.
Consistency: Maintains accuracy across updates, deletions, and merges.
Data Tracking: Facilitates accurate tracking of customer behaviors and order histories for better decision-making.
RELATIONSHIPS BETWEEN ENTITIES
Customer and Address: One-to-Many (A customer can have multiple addresses for deliveries.)
Customer and Orders: One-to-Many (A customer can place multiple orders, but an order belongs to one customer.)
Orders and Products: Many-to-Many (An order can contain multiple products, and a product can be included in multiple orders.)
Suppliers and Products: One-to-Many (A supplier can supply multiple products.)
Departments and Employees: One-to-Many (A department can have multiple employees, but an employee belongs to only one department.)
Departments and Products: One-to-Many (A department can contain multiple product categories.)
DATABASE MODELLING PHASES
The design process involved three phases:
Conceptual Phase: Defined the entities and their relationships.
Logical Phase: Described entity attributes, defined cardinality, and established constraints.
Physical Phase: Implemented the database schema and relationships.
DATABASE IMPLEMENTATION USING FORWARD ENGINEER TOOL
The database schema was implemented using MySQL’s Forward Engineer Tool, which:
Generates SQL scripts from an ERD (Entity-Relationship Diagram).
Creates tables, columns, and constraints automatically.
Deploys the database on MySQL Server for immediate use.