Gunadarma Database Design Study Guide, Study Guides, Projects, Research of Database Management Systems (DBMS)

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Database Design

Database System

Informatics Engineering

Gunadarma University

Introduction to Database Design: Database design is the process of creating a detailed data model of a database. It involves identifying the data requirements, determining the structure of the database, and defining the relationships between different data elements. A well-designed database ensures data integrity, efficiency, and scalability. Key Concepts in Database Design:

1. Data Requirements Analysis: o Understand the data that needs to be stored in the database. o Identify entities (objects or concepts), attributes (properties of entities), and relationships between entities.
2. Normalization: o Organize data to minimize redundancy and dependency issues. o Normalize tables to eliminate data anomalies and improve data integrity. o Follow normalization rules like First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF).
3. Entity-Relationship (ER) Modeling: o Use ER diagrams to visualize and represent the relationships between entities. o Entities are represented as rectangles, attributes as ovals, and relationships as lines connecting entities.
4. Schema Design: o Design the structure of the database schema, including tables, columns, primary keys, foreign keys, indexes, etc. o Choose appropriate data types for each column to optimize storage and performance.

o Books Table: o Copies Table: o Library Members Table: o Borrowed Books Table:

4. Perform Normalization (Optional): o Normalize tables to eliminate redundancy and dependency issues. o For example, you could create separate tables for authors' contact information or for tracking book genres. Conclusion: Database design is a critical aspect of building efficient and scalable databases. By following best practices like normalization, entity-relationship modeling, and schema design, you can create databases that effectively manage and organize your data. Practice designing databases for various scenarios to strengthen your database design skills.