Unleashing Data Potential: Coforge Drives Efficiency and Agility in Big Data Analytics for Leading UK Bank

Challenges.

• Modernizing the existing big data analytics platform 
• Migrating data lake to a cloud-based environment 
• Maintaining regulatory reporting SLAs and data quality during migration 
• Overcoming scalability issues, especially in non-production environments 
• Reducing cost of ownership and infrastructure maintenance costs 
• Improving performance and reliability of data processing jobs

Solution.

Coforge implemented a cloud-based Data Lake using AWS technologies:

• Lift and Shift Strategy: Migrated 70+ data pipelines for regulatory applications 
• Efficient Processing: Used on-demand, small-size EMR clusters with Step Function orchestration 
• Structured Data Storage: Stored data on S3 and used Glue for structuring 
• Comprehensive Integration: Sourced data from multiple systems for risk metric calculations 
• Upgraded Code Quality: Improved software, libraries, and test coverage 

Key highlights: 

• Seamless migration of regulatory application pipelines 
• On-demand EMR clusters for efficient data processing 
• Structured data storage and analysis using AWS services
• Improved code quality and test coverage

The Impact.