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Enterprise Big Data and SQL Integration Platform Development

dashbouquet.com

Information technology

Financial services

Retail

Health & Fitness

Integration and Performance Challenges in Big Data Management

Enterprises face significant difficulties in bridging Big Data ecosystems with traditional SQL databases, resulting in fragmented analytics capabilities. Existing solutions suffer from slow UI performance, limited BI tool compatibility, and unstable system behavior under varying workloads.

About the Client

Enterprise software solutions provider specializing in data management technologies

Strategic Development Goals

Create a unified data management platform connecting Big Data and SQL environments
Develop a high-performance interface with 40% reduced iteration costs
Implement robust security and stability features
Enable seamless integration with standard BI tools

Core System Capabilities

Cross-platform data connector for Big Data and SQL systems
Real-time performance monitoring dashboard
BI tool integration framework
Interactive GUI with responsive design
Automated workflow execution engine

Technology Stack Requirements

TypeScript

React

Redux

ReduxSaga

JDBC

System Integration Needs

SQL databases
Tableau
Power BI
Apache Hadoop
Spark

Operational Requirements

99.9% system uptime SLA
Sub-second UI response times
Role-based access control
Horizontal scalability to 10,000+ concurrent users
Automated regression testing framework

Business Value Projections

Expected 40% reduction in system maintenance costs, 2x faster data processing performance, and enhanced competitive positioning through superior UI responsiveness. The solution will enable enterprises to leverage existing BI investments while maintaining robust data governance.