Enterprise Data Migration and Aggregation Platform for Enhanced Performance and User Experience

The client faces difficulties in aggregating over 300GB of data from diverse sources into a unified platform, resulting in server overloads, slow data delivery, and resource availability issues during peak usage. The current architecture limits the responsiveness and scalability necessary for delivering fast and reliable data views to clients.

A mid to large-sized company providing complex data-driven services across multiple sources, seeking scalable data infrastructure to improve performance and client delivery.

• Implement a data migration process capable of handling over 300GB of diverse data efficiently.
• Design and deploy a fault-tolerant architecture that increases server capacity and reduces downtime during overload conditions.
• Improve data delivery speed to clients across geolocations to enhance user experience.
• Establish a maintainable and scalable infrastructure leveraging modern automation and orchestration tools.
• Ensure the system supports multiple refined data views with optimized UX.

• A backend data processing module capable of aggregating and storing over 300GB of heterogeneous data sources.
• Deployment of backend and frontend components using containerization technologies such as Docker.
• Orchestration and infrastructure management through Infrastructure-as-Code tools like Terraform.
• Multi-region deployment to ensure fast geolocation-based data delivery.
• Deployment on cloud services equivalent to AWS ECS and RDS for scalable, reliable data storage and retrieval.
• User interface presenting multiple refined views optimized for usability and performance.

• Multiple data source systems for data ingestion
• User geolocation services for optimized data delivery
• Monitoring and logging tools to ensure system health and performance

• System scalability to handle over 300GB of data with future growth considerations
• High system availability with minimal downtime during high-load periods
• Fast data retrieval ensuring minimal latency in data delivery to clients across geolocations
• Strong security protocols for data integrity and access control

The implementation of a robust, scalable data aggregation platform aims to significantly increase infrastructure capacity, eliminate current resource bottlenecks, and ensure faster data access for clients via geolocation-aware delivery. Expected outcomes include improved server performance, enhanced user experience, and the ability to support larger volumes of data seamlessly.