Customer
A business intelligence (BI) consulting firm needed a powerful web-based analytics solution to process and visualize data from diverse sources, enabling teams to create, configure, and manage custom data workflows.
Challenge
The client required a dynamic and scalable tool to support complex schema configurations, drag-and-drop data model mapping, and seamless integration with external sources like Amazon S3 and various databases. Real-time performance, flexibility in visualization, and secure workflow orchestration were key requirements.
Some of the key challenges of the project were:
- Supporting multiple file formats and data sources for analytics.
- Creating an intuitive drag-and-drop UI for schema-to-model mapping.
- Managing schema writers and readers for databases like MongoDB and PostgreSQL.
- Designing a visual workflow builder with customizable pipelines.
- Ensuring secure file uploads and external API integration.
Results
- Improved Data Processing Speed: Reduced manual mapping time by 60% with drag-and-drop UI.
- Seamless Integration: Enabled real-time data import from Amazon S3 and external APIs.
- Enhanced User Experience: Intuitive workflow composer increased productivity for data teams.
- Scalable BI Platform: The solution became the foundation for expanding into client-facing analytics portals.
Technologies Used
- Frontend: Angular, Angular Ngx, TypeScript
- Backend: MS SQL
- Dev Tools: Visual Studio Code
- Integrations: Amazon S3, MongoDB, PostgreSQL APIs
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