Case Study: Areeba accelerates ML model creation with CData

Areeba eliminates CSV data delays with CData and speeds ML model creation

Areeba, a leading Lebanese financial technology company, faced significant challenges in accessing and consolidating scattered data from multiple sources like MemSQL, MariaDB, and Oracle for its machine learning initiatives. Their data science team was hindered by a time-consuming and error-prone process reliant on CSV files, creating delays and inefficiencies. They turned to CData Software for a solution.

CData provided an agile data virtualization solution, enabling Areeba to build a centralized Data as a Service (DaaS) platform with JDBC and REST connectors. This eliminated downtime for data scientists, provided real-time data access, and automated processes to ensure data was always up-to-date. The solution streamlined model creation, virtually eliminated security risks from file transfers, and empowered the data science team to connect tools like Tableau without developer assistance, accelerating their path to advanced analytics.

Areeba