Case Study: St. Louis University achieves 80% lower costs and 300TB processed in 5 days with Ideas2IT Technologies

St. Louis University processes 300TB in 5 days with Ideas2IT Technologies

St. Louis University's researchers faced the challenge of managing petabytes of geospatial data received in unworkable formats from external sources. Without a preprocessing layer, manual operations like deduplication were required, making queries slow and compute costs unsustainable at scale. Ideas2IT was engaged to modernize their research data management platform.

Ideas2IT built an AWS-native geo data warehouse and preprocessing pipeline to automate data ingestion and normalization. This solution processed 300TB of data in just five days and cut the project's costs by 80%, enabling fast and cost-effective geospatial analysis by replacing unoptimized raw-data queries with a structured, partitioned data warehouse.

St. Louis University