Data Ingestion and Processing from Legacy Systems: Feeding Slave Web Applications

The banking industry stands at the forefront of the digital revolution, a transformation that is reshaping the way financial institutions operate and interact with their customers. In an environment where speed, accuracy, and adaptability are paramount, the ability to process vast amounts of data efficiently and securely has become a cornerstone of success. This thesis explores the critical role that advanced software systems, such as the Calculation Agent (CA), play in driving this transformation. As banks continue to evolve in response to regulatory demands and the growing expectations of a digital-first world, there is an increasing need for systems that can seamlessly integrate legacy infrastructures with modern technologies. The CA represents a significant leap forward in this regard, providing a robust framework that not only enhances operational efficiency but also supports the strategic goals of financial institutions by enabling real-time data processing, decision-making, and compliance. This work delves into the design and architecture of the CA, illustrating how it addresses the complex challenges faced by banks in the digital age. By leveraging a master-slave architecture, microservices, and cutting-edge data management tools, the CA ensures that financial institutions can manage their data flows with unparalleled precision and agility. The flexibility of the system allows for continuous adaptation to changing market conditions and regulatory environments, making it an indispensable tool in the modern banking landscape. Through this exploration, the thesis underscores the broader implications of digital innovation in banking, highlighting how systems like the CA are not just tools of convenience, but essential drivers of industry evolution, pushing the boundaries of what is possible in the realm of financial services.