Case Study: Areeba accelerates machine learning with Data Virtuality

Areeba - Customer Case Study

Areeba, a leading Lebanese financial technology company, needed a better way to apply machine learning to large volumes of transactional and operational data spread across MS SQL, MariaDB, and Oracle. Manual CSV exports and copy-paste workflows were time-consuming, error-prone, and hard to scale, especially as the team prepared for real-time analytics. To solve this, Areeba turned to Data Virtuality’s Logical Data Warehouse and data virtualization capabilities.

With Data Virtuality, Areeba built a centralized, automated virtual data layer that integrates sources via JDBC and REST API connectors, giving data architects and data scientists a single source of truth. This eliminated CSV chaos, reduced idle time, improved data quality, and enabled faster access to real-time data for machine learning and BI tools like R, Spark, Python, and Tableau. The team now streams 40 to 50 million transactions and can focus more on modeling and business outcomes instead of manual data preparation.

Areeba

Khaled Eid

Data Scientist