Batch Processing
Processing large volumes of data in scheduled chunks rather than in real time. Think nightly reports, ETL jobs, and data warehouse loads.
What is Batch Processing?
Processing large volumes of data in scheduled chunks rather than in real time. Think nightly reports, ETL jobs, and data warehouse loads.
Batch Processing is a advanced concept that sits in the Stream & Batch Processing area of system design. Engineers reach for it whenever they need to reason about real-world trade-offs in that space — not just for textbook correctness, but because real production systems at companies like Netflix, Amazon, and Google make these decisions every day.
If you want to go deeper than this definition — with diagrams, code, and a quiz to lock it in — work through the "Batch Processing" lesson linked below. It walks through the why, the mechanism, the trade-offs, and how the giants actually use it in production.
Learn Batch Processing in depth
Full interactive lesson with diagrams, code examples, real-world references, and a quiz.
Open the Batch Processing lessonSee also
Related glossary terms you might want to look up next.
Stream Processing
Processing data continuously as it arrives, rather than in batches. Powers real-time analytics, fraud detection, and live dashboards.
Kafka
A distributed event streaming platform that handles millions of events per second. Used by LinkedIn, Netflix, and Uber for real-time data pipelines.