Data-Intensive Systems

Data-intensive systems are the backbone of modern technology companies — search engines, analytics platforms, IoT ingestion pipelines, collaborative editors, and content delivery networks all share the common challenge of processing enormous volumes of data with strict latency requirements. This path pushes you to design five systems where data is the primary challenge: a real-time search engine handling millions of documents, an analytics dashboard processing billions of events, an IoT pipeline ingesting sensor data from thousands of devices, a collaborative editor with conflict-free real-time editing, and a global CDN architecture. These challenges go beyond CRUD applications into territory where your architecture decisions directly determine whether the system can handle the data volume, velocity, and variety your users demand.