Part 2/10:

The primary challenge addressed was the need to consolidate scattered reports and data across multiple Business Intelligence (BI) systems into a unified reporting portal and data platform. These BI systems were legacy setups housing approximately 15,000 to 20,000 data objects each, including SQL procedures, functions, triggers, and data manipulation scripts.

Data engineers traditionally undertake extensive manual analysis to understand the business logic and transformation procedures embedded in these objects. This process is time-consuming, error-prone, and requires deep domain expertise.

The Complexity of Legacy Data Objects

• Volume: Thousands of objects per system, often aggregated into large scripts.