Principles of Modern Data Infrastructure

Modern data infrastructure is crucial for handling large volumes of data efficiently without compromising latency, consistency, security, or developer experience. Key principles to consider when designing a modern data infrastructure include scalability (vertical and horizontal), high availability, speed, security, maintainability, cost efficiency, and developer experience. Scalability involves the ability to scale up and out as workloads grow, while high availability ensures that applications are up and running even during system failures. Speed is essential for real-time or near-real-time user experiences, with response times ideally under 100ms. Security features should include role-based access control (RBAC), access control lists (ACLs), and secured network practices to protect data in transit and maintain compliance. Maintainability is improved by using standard APIs, seamless integration with other tools, and modular data architecture. Cost efficiency can be achieved through lightweight engines like DuckDB and transparency in pricing models. Finally, a positive developer experience can be facilitated through intuitive APIs, rich features, support for diverse data types, and built-in security measures.