What you get with this Offer:
1. Requirements Analysis
Before designing, it's crucial to understand the needs of the business or application. This includes:
Identifying entities (e.g., Users, Orders, Products)
Understanding relationships between entities
Defining the operations the database should support
2. Conceptual Design (ER Model)
Creating an Entity-Relationship (ER) Diagram to visually map out tables, their attributes, and relationships.
Identifying primary keys (unique identifiers) for each entity.
Defining cardinality (one-to-one, one-to-many, many-to-many relationships).
3. Logical Design (Schema Definition)
Converting the ER model into a relational schema.
Creating tables with well-defined columns (attributes).
Establishing foreign keys to enforce relationships.
Normalizing the database to reduce redundancy and ensure data integrity (applying 1NF, 2NF, 3NF, BCNF as needed).
4. Physical Design (Performance Optimization)
Choosing appropriate data types for each column.
Adding indexes for faster query execution.
Optimizing table storage and partitioning for large-scale data.
5. Implementation (SQL Schema & Queries)
Writing SQL scripts to create tables (CREATE TABLE statements).
Defining constraints (e.g., NOT NULL, UNIQUE, CHECK, FOREIGN KEY).
Writing stored procedures, triggers, and views for data manipulation.
6. Testing & Refinement
Inserting sample data and testing queries.
Checking for data integrity and performance bottlenecks.
Refining indexes, constraints, and relationships as needed.
7. Deployment