Development of a Custom Data Storage and Digital Integration Platform for Enhanced Digital Transformation

The client faces complexities in digital transformation efforts, including legacy system costs, the need for scalable in-memory data solutions, and challenges in integrating multiple applications for streamlined operations. They require a flexible, high-performance platform to enhance application performance, reduce operational costs, and support future-ready deployments amidst remote work and other operational challenges.

A mid-to-large technology solutions provider specializing in data storage, in-memory computing, and supporting enterprise digital transformation initiatives.

• Develop a scalable, high-performance data storage and in-memory computing platform to support enterprise digital transformation efforts.
• Create a digital integration hub that simplifies connectivity and data flow between legacy systems and new applications.
• Improve application performance and reduce infrastructure costs through efficient data management solutions.
• Ensure platform resilience and performance stability in remote work environments and under high data load scenarios.
• Enable professional growth and technical excellence within the development team working on the platform.

• Support for in-memory data storage solutions to accelerate data access and processing.
• Development of an application Digital Integration Hub (DIH) to unify data flow across multiple applications and legacy systems.
• Real-time data processing and analytics capabilities.
• Role-based access control and security features for data protection.
• Support for an evolving tech stack including Java and Scala technologies.
• Remote work support with secure, stable communication channels.

• Legacy enterprise systems for data migration and integration
• Real-time data sources and analytics tools
• Security and authentication services

• High availability with 99.9% uptime.
• Support for high concurrency with minimal latency (target sub-millisecond response times).
• Secure data handling compliant with enterprise and industry standards.
• Scalable architecture supporting incremental growth in data volume and user load.

The project aims to accelerate digital transformation and improve data processing speeds, leading to reduced operational costs and enhanced application performance. Expected outcomes include a scalable, resilient platform capable of supporting high data loads with near-instant response times, ultimately boosting enterprise efficiency and supporting innovation initiatives.