About the Customer

A premier Indian stock exchange headquartered in Mumbai—among the largest globally by market capitalization. Known for its robust infrastructure and investor-focused innovation, the exchange supports trading across all asset classes for diverse investor segments.

The Challenge

The client’s legacy data warehouse was incurring high maintenance costs. They needed a scalable, efficient, on-premise alternative that could handle large-scale analytics, ensure regulatory compliance, and support real-time business decision-making.

The Solution

• Migration to a big data platform using Cloudera CDP
• Data warehouse and Lakehouse modernization
• Operational Data Store (ODS) transformation
• Real-time analytics and fraud detection systems
• AI/ML-based automation for document validation and behavior analysis
• UI/UX and middleware modernization for public-facing systems
• Market surveillance and SEBI-compliant reporting automation

Key Highlights

• Designed and implemented a 24+ PB data warehouse on Cloudera CDP
• Built a high-throughput ODS processing over 20 billion records daily
• Automated regulatory reporting aligned with SEBI guidelines
• Deployed AI-driven engines for real-time document validation and fraud pattern detection
• Modernized public-facing applications using ReactJS and microservices

Technology Stack

• Big Data: HDFS, Hive, Impala, Kudu, Spark (Streaming & Batch)
• AI/ML: NLP for unstructured document validation, ML for surveillance analytics
• Application Layer: ReactJS, microservices-based architecture
• Platform: Cloudera Data Platform (CDP)

Business Impact

• Reduced total cost of ownership through platform optimization
• Achieved real-time decision-making capabilities
• Strengthened regulatory compliance and risk mitigation
• Improved system scalability, performance, and user experience
• Eliminated redundant infrastructure through integrated AI solutions