Big Data Architectures for Streaming and Batch Analytics
Big Data Architectures for Streaming and Batch Analytics Big data systems today mix streaming and batch analytics to support both fast actions and thorough analysis. A solid architecture uses a shared data backbone—object storage with a clean schema—so different teams can work on the same facts. Two core modes Streaming analytics processes events as they arrive, delivering near real-time insights. Batch analytics runs on a schedule, handling large volumes for deeper understanding. Both rely on a data lake for raw data and a warehouse or lakehouse for curated views. Plan for schema evolution, data quality checks, and traceability. ...