From batch processing and event-driven systems to CDC, Data Mesh, Data Fabric, CQRS, and microservices — understand the problem behind each architecture, when it fits, and how to recognize it in a system design interview.
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TL;DR
Batch Processing processes accumulated data at scheduled intervals, making it suitable for daily revenue reports, periodic reconciliations, and large-scale historical analysis where results don’t need to be immediate.
Streaming Architecture processes events continuously as they arrive, enabling near-real-time use cases such as live sales monitoring, fraud detection, and IoT sensor monitoring.
Event-Driven Architecture triggers workflows or actions in response to events, such as an order being placed, a file arriving in cloud storage, or a payment completing. It helps systems react to changes without constantly polling for them.
