Banking Database Design Using PostgreSQL and pgAdmin

Introduction: This project focuses on designing a robust and efficient banking database system using PostgreSQL and pgAdmin. The primary goal is to optimize transaction management, ensuring both data integrity and performance.

Case Study Overview: The client, a leading financial institution, aimed for a comprehensive overhaul of their existing banking transactions database. The objectives included enhancing system performance, ensuring data integrity, and efficiently managing the increasing transaction volume.

Key Components of the Project:

Understanding the Requirements:

• Identified key requirements, prioritizing and strategically organizing them.
• Comprehensively explained client requirements for the new database design.

Data Modeling:

• Executed a thorough data modeling process for the banking transactions database.
• Implemented effective normalization strategies to minimize data redundancy.

Database Architecture:

• Chose PostgreSQL as the database, leveraging its relational capabilities.
• Addressed scalability and performance concerns within the selected architecture.

Transaction Management:

• Developed strategies to manage transactions, ensuring consistency and reliability.
• Implemented mechanisms to handle concurrent transactions and prevent data anomalies.

Security and Compliance:

• Addressed security concerns with data encryption, access control, and compliance measures.
• Implemented safeguards to protect sensitive customer information within the database.

Performance Optimization:

• Employed strategies to optimize the performance of the banking transactions database.
• Implemented caching mechanisms, indexing strategies, and other techniques for enhanced query performance.

Database Design Process

Phase I: Requirements Collection and Analysis

• Interviewed and consulted with database users to understand data requirements.
• Identified key entities and relationships, laying the foundation for the conceptual design.

Phase II: Conceptual Design

• Formulated a comprehensive E-R diagram representing the identified entities and relationships.

Phase III: Logical Design (Data model mapping)

• Translated the conceptual design into a logical database schema.
• Specified entities, relationships, attributes, primary keys, and foreign keys.
• Database Schema Documentation

Phase IV: Physical Design (Internal Schema)

• Transformed the logical database schema into a physical database.
• Created tables, specified columns, defined data types, and implemented constraints and keys.

Phase V: Usage and Setup

• Employed Docker and Docker Compose for a standardized environment.
• Offered detailed setup instructions in the readme, including links to online documentation and ERD images.

Tools Used

• PostgreSQL: Main database management system.
• PgAdmin: Administration and management tool for PostgreSQL.
• Docker: Containerization platform for creating a consistent and isolated environment.
• mermaid.io, draw.io, dbdocs.io, dbdiagram.io: Tools for visualizing and documenting the database design.

Setup

1. Clone this repository.
2. Navigate to the project directory.

   cd Banking-Database-Design-using-PostgreSQL-and-pgAdmin
   

3. Update the .env file with your PostgreSQL and PgAdmin credentials.

   POSTGRES_DB=
   POSTGRES_USER=
   POSTGRES_PASSWORD=
   
   PGADMIN_DEFAULT_EMAIL=
   PGADMIN_DEFAULT_PASSWORD=
   

4. Run the following command to build and start the PostgreSQL container:

   docker-compose up -d
   

5. Connect to the PostgreSQL database using PgAdmin with the provided credentials.
   • Host: localhost
   • Port: 5432
   • Database: BankDB
   • User: admin
   • Password: admin