[ Raw logs ] → [ ETL (Spark/Beam) ] → [ Feature pipeline ] → [ Training dataset ] [ Model code ] → [ Trainer (TF/PyTorch) ] → [ Model artifact ] → [ Model Registry ]
The book applies this framework to 10 real-world scenarios frequently seen in interviews, including: machine learning system design interview pdf alex xu
“Design a search ranking system for YouTube.” [ Raw logs ] → [ ETL (Spark/Beam)