Case Study

Augmenting Performance and Data Modelling with Data Warehouse

Augmenting Performance and Data Modelling with Data Warehouse

Pages 4 Pages

A leading graphic arts company faced issues with redundant data, inefficient management of historical records, and poor scalability. Aspire Systems built a Snowflake-based data warehouse using AWS Glue, S3, and RDS SQL Server to streamline data ingestion, cleansing, and modeling. The solution enabled master and transaction table design, daily ETL job scheduling, email alerts, and BI reporting with QlikView. Benefits included near real-time data access, improved query performance, enhanced data quality, and integration of heterogeneous sources. The system delivered higher ROI, scalability, and faster analytics across global operations.

Join for free to read