Revolutionizing Data Accessibility: How Coforge Centralized NoSQL Data for a Leading Financial Institution
Overview.
A major financial institution faced challenges extracting data from NoSQL databases, impacting time to market for business insights. The goal was to centralize and structure NoSQL data to enhance accessibility and enable efficient analysis, improving decision-making through better reporting capabilities.
Extracting data from NoSQL databases was complex and time-consuming.
Heterogeneous schema, data formats, and platform configurations posed challenges.
Transforming data assets into a relational data warehouse model was difficult.
Our Solution.
Exported metadata in XML format. Coforge implemented an AI & Gen AI solution to convert NoSQL schema, tables, and data into a SQL/Relational Database format:
Exported metadata in XML format.
Used AI to read and interpret XML files, transforming complex data structures into a flattened format.
Identified, resolved, and created data dependencies and relationships.
Automated data modeling with GenAI, establishing relationships between data entities.
Mapped foreign keys between related database tables, ensuring data integrity.
