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Banking Database Design Using PostgreSQL and pgAdmin

Database Design

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. E-R Diagram

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

Logical Schema

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