Streamlining Data Ingestion with Automation & Security: Coforge Powers Analytics Excellence for Largest Financial Services Firm in US
Overview
A leading US-based financial services firm encountered challenges in efficiently ingesting and transforming data from various RDBMS sources. Manual processes, inconsistencies, and performance bottlenecks hindered their data-driven initiatives. The firm sought a robust solution to automate data ingestion, enhance security, and improve data quality.
Performance bottlenecks affecting data availability
Security concerns related to sensitive data handling
Solution
Coforge implemented a comprehensive data ingestion and transformation framework to address these challenges. Leveraging AWS, Snowflake, Protegrity, and PySpark, the solution focused on:
Automating data ingestion and transformation from RDBMS sources
Ensuring data privacy through anonymization
Maintaining a consistent data catalog
Optimizing data processing performance
Strengthening data security and compliance
The impact
70%
Reduction in data ingestion and transformation time
