Modern data applications require the integration of various components to manage large, complex data flows effectively. Core non-functional requirements are reliability, scalability, and maintainability. Traditional databases face challenges in scaling, leading to big data systems that address these issues through distributed architectures, fault tolerance, and a focus on immutability for data integrity and easier recovery.