Client Background

Client: A leading IT firm in the Europe

Industry Type: IT

Products & Services: IT Services, Consulting and Automation

Organization Size: 100+

The Problem

  • Database designing which enables access to each related/important table data via other db table
  • The project required the development of a user-friendly web application for managing partner entities with diverse attributes. 
  • Ensuring data accuracy, security, scalability, and compliance with regulations while integrating seamlessly with a Data Warehouse posed significant technical challenges.

Our Solution

  • Our solution successfully addressed the technical challenges by leveraging Django’s capabilities and implementing custom solutions where needed. 
  • It provided a robust and scalable web application for partner entity management while ensuring data accuracy, security, and compliance. 
  • The dynamic attribute management system and integration with the Database facilitated efficient data handling and reporting, supporting data-driven decision-making. 
  • We have designed and implemented database related changes and UI related changes that Client have suggested according to which a separate db table which contains all data which will be created , updated and deleted as other table rows created, updated and deleted

Solution Architecture

  • Django ORM for abstracting database complexities.
  • Scalability through cloud resources and optimization techniques.
  • Security measures, including encryption and access controls for Admin Users.
  • Performance optimization strategies such as removing redundancy in db tables.
  • We have provided many database design solutions as well as User Interface solution regarding which client have given positive response.
  • We have successfully developed and implemented design and changes related to project after multiple discussion with client regarding database architecture design as well as database model and their related UI panel with authentication 

Deliverables

  • Python Django Source Code (Github Repository)

Tech Stack

  • Tools used
    • Python Django web Framework
  • Language/techniques used
    • Python 
  • Models used
    • Django Database Model and Django ORM
  • Skills used
    • Python 
    • Django 
  • Databases used
    • Postgresql
  • Web Cloud Servers used
    • Not Used from Side

What are the technical Challenges Faced during Project Execution

  1. Database Complexity: Designing a comprehensive database schema to represent multiple partner entities with varying attributes posed a challenge. Each entity had unique characteristics and relationships.
  2. Scalability: Ensuring the application’s scalability to handle a potentially large volume of partner data while maintaining performance was a significant concern.
  3. Dynamic Attributes: Allowing users to dynamically manage entity attributes presented difficulties in database design and user interface implementation.
  4. Data Validation: Implementing robust data validation rules to maintain data accuracy and consistency across various partner entities was complex due to the diversity of data.
  5. Integration with Remote Database: Establishing seamless data export capabilities to feed the Database while maintaining data compatibility was a technical hurdle.
  6. Security: Ensuring data security and compliance with relevant regulations, including encryption and access control, required careful consideration and implementation.
  7. Performance Optimization: Optimizing the application’s performance, especially when dealing with complex queries and large datasets, was a continual challenge. 

How the Technical Challenges were Solved

  1. Database Abstraction: Utilizing Django’s ORM (Object-Relational Mapping) allowed for an abstract representation of entities and their attributes, simplifying database management.
  2. Scalability Planning: Employing efficient indexing and caching mechanisms to accommodate scalability and performance needs. Additionally, using cloud resources for scalability.
  3. User Management: Implementing a flexible User management system that allowed users to Create , Read , Update and Delete other Users and their related permissions.
  4. Data Validation Middleware: Developing custom middleware to enforce data validation rules and ensure data accuracy before database interactions.
  5. Integration Layer: Creating a dedicated integration layer that transformed and exported data from the database to the User Interface, adhering to data compatibility standards.
  6. Security Best Practices: Adhering to best practices for securing data, including User Authentication, Changes in Django template to Remove Other Important Database in db options and Permission Required for other User to use database table on UI panel from Admin User.
  7. Performance Tuning: Conducting performance tuning by optimizing database model and related admin file for better fetching of db table data on UI panel.

Project website url

http://34.18.45.30:8000/api/admin/login/?next=/api/admin/ 

Summarize

Summarized: https://blackcoffer.com/

This project was done by the Blackcoffer Team, a Global IT Consulting firm.

Contact Details

This solution was designed and developed by Blackcoffer Team
Here are my contact details:
Firm Name: Blackcoffer Pvt. Ltd.
Firm Website: www.blackcoffer.com
Firm Address: 4/2, E-Extension, Shaym Vihar Phase 1, New Delhi 110043
Email: ajay@blackcoffer.com
Skype: asbidyarthy
WhatsApp: +91 9717367468
Telegram: @asbidyarthy

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