09/30/2026
When a global financial information organization acquired a new product offering, it also inherited a hard deadline to separate from the prior owner, and a stack of legacy applications to replace.
Solü's team architected a custom big data pipeline platform that pulls from dozens of data sources, built on two proprietary specifications: one to define the structure of incoming data, and one to transform it into a single, unified output ready for analysis. The client's data scientists used the framework to reverse engineer decades of legacy software in weeks, while we built an automated verification platform to certify performance and output quality at scale.
The result was a successful, on-time launch of an application capable of processing hundreds of thousands of data points per minute.
Read the full case study: https://www.solutechnology.com/establishing-a-custom-big-data-pipeline/