Backend API Development
Database Migration to Cloud & Full Refactor of Existing Web Application
Services
Development of a backend API.
Creation of a frontend user interface (UI)
Implementation of data querying and filtering functionalities.
Technology Stack
Azure: Leveraging cloud capabilities for scalability and performance.
Cosmos DB: Utilizing this NoSQL database service for storing and querying JSON documents, offering low latency, high availability, and the ability to scale throughput and storage across multiple regions.
Python: Employed for backend API development and automation, ensuring flexible and efficient data handling.
Additional technologies included Flask for web application framework, MongoDB for database management, and Azure Blob Storage for handling large datasets.
Challenge
The client required a robust solution to explore and manage a vast database containing millions of records for companies within their databse. The key challenges included:
Efficient querying of company data.
Generation of customizable reports.
Flexible filtering of records based on various criteria.
Ensuring high performance and usability akin to platforms like LinkedIn, tailored to the client's private data.
Solution/Approach
Matter Analytics developed a comprehensive solution encompassing both backend and frontend aspects:
Backend API: Designed to handle complex queries, allowing for search functionality (e.g., searching for a company by name), and generating downloadable CSV reports. This involved integrating various Python scripts for database access and data processing, ensuring efficient interaction with Azure Cosmos DB and MongoDB.
Frontend UI: A user-friendly interface was created to allow users to seamlessly interact with the database. This included features for filtering data records based on user-defined criteria and criteria, enhancing the ease of data exploration and analysis.
Integration and Testing: The solution was thoroughly tested to ensure seamless integration of the backend and frontend components, with a focus on performance and user experience.
Outcome
The project successfully delivered a highly functional and efficient system, akin to a mini LinkedIn for the client's private data on other companies. This solution significantly improved the client's ability to access, analyze, and utilize their extensive database for executive placement and market research purposes.