Case 1: Search and Recommendation Systems (e.g., Netflix, Airbnb) Massive scale, sub-100ms latency limits.
Define your data sources, ingestion strategy, and how you handle missing values or data imbalances. machine learning system design interview alex xu pdf github
"Machine Learning System Design Interview" alex xu Case 1: Search and Recommendation Systems (e
Assuming 10,000 repo analyses per month, average repo size 50 files. Airbnb) Massive scale
Knowing when to use Apache Flink/Kafka for real-time streaming features vs. Apache Spark for offline batch features.