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Batch processing (Apache Spark) for historical data; stream processing (Apache Kafka, Flink) for real-time user behavior features. Step 3: Feature Engineering & Selection

Trigger-based retraining (e.g., when performance drops below a threshold) or scheduled cron-job retraining. Standard Case Studies Found in GitHub PDFs Machine Learning System Design Interview Pdf Github

: When a GitHub guide explains an architecture, look up the engineering blogs of companies like Uber (Michelangelo platform), Netflix, or Airbnb to see how those systems look in real production environments. Batch processing (Apache Spark) for historical data; stream

The open-source community has created phenomenal roadmaps and repositories specifically for this interview. Searching GitHub for these curated repositories will give you access to detailed markdown guides, architectural diagrams, and downloadable PDFs. 1. Evably / machine-learning-system-design stream processing (Apache Kafka