Client Background

Client: A leading tech firm in the USA

Industry Type: IT

Products & Services: IT Consulting

Organization Size: 100+

The Problem

  • Data Complexity: Handling and integrating multiple data sources with different formats and cleaning/preprocessing them for use in a web application.
  • Spatial Data Integration: Managing and converting complex spatial data into a suitable format for storage and display.
  • User-Friendly Data Access: Providing an easy-to-use interface for users to query and visualize data efficiently.
  • Secure Authentication: Implementing secure user authentication to protect sensitive data and user accounts.
  • Deployment Considerations: Exploring the potential challenges of deploying the application on Azure.

Our Solution

  • Project Setup and ETL: Set up Django, developed ETL scripts, cleaned data, and loaded it into PostgreSQL.
  • Web Application Development: Designed user-friendly templates, implemented APIs for data display, and used session storage for queries.
  • User Authentication: Created login/signup pages and implemented secure user authentication.
  • Data Management and Integration: Ensured dynamic tables and error handling for queries, created Docker image, and documented deployment.
  • Spatial Data Handling: Processed and stored spatial data, integrated it with Django views, and converted data types.
  • API Development: Built APIs for JSON data retrieval and handled various file extensions for data extraction.
  • Frontend and User Interaction: Designed frontend components and implemented data upload and retrieval.
  • SQL Dump and Azure Deployment: Created SQL Dump template, developed a view for uploading .sql files, and explored Azure deployment options.

Solution Architecture

  • Backend Framework: Python Django for building the web application’s backend.
  • Database: PostgreSQL for storing cleaned and spatial data.
  • ETL Processes: Python scripts for data extraction, transformation, and loading.
  • Frontend: HTML templates and JavaScript for user interaction.
  • APIs: Custom APIs for data retrieval and spatial data handling.
  • Deployment: Dockerization for containerized deployment.
  • Authentication: Implementing user authentication using Django’s built-in features.
  • Spatial Data Handling: Using Python libraries to process and convert spatial data.
  • SQL Dump: Creating an SQL Dump feature for running PostgreSQL queries.

Deliverables

Tech Stack

  • Tools used
    • Pillow
    • psycopg2
    • arcgis==1.8.2
    • geopandas
    • pyproj
    • pandas
    • numpy
    • matplotlib
    • pyshp
  • Language/techniques used
    • Python
  • Models used
    • Django ORM
  • Skills used
    • Python 
    • Django
    • ETL
    • Docker
  • Databases used
    • postgresql
  • Web Cloud Servers used
    • MS Azure

What are the technical Challenges Faced during Project Execution

  • Data Cleaning and Integration: Managing data from different sources and ensuring consistency was challenging.
  • Spatial Data Transformation: Converting complex spatial data into suitable database formats posed a technical hurdle.
  • User Authentication: Implementing secure user authentication without vulnerabilities required careful consideration.
  • File Handling: Handling various file extensions and extracting data from them was a technical challenge.
  • Deployment: Ensuring smooth deployment, especially on Azure, presented its own set of challenges.

How the Technical Challenges were Solved

  • Data Cleaning and Integration: Python scripts were used to clean and preprocess data, aligning it with column datatypes.
  • Spatial Data Transformation: Libraries were utilized to process and convert spatial data to appropriate formats.
  • User Authentication: Django’s built-in authentication features were leveraged for secure user management.
  • File Handling: Custom Python scripts were developed to handle different file extensions and extract data.
  • Deployment: Dockerization simplified deployment, and research on Azure ensured potential future deployment options were explored.

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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