Last Mile Data Processing with Ray

Original URL: https://medium.com/pinterest-engineering/last-mile-data-processing-with-ray-629affbf34ff

Added Date: September 4, 2024

Memo: Pinterest enhances machine learning dataset iteration speed by adopting Ray for distributed processing, addressing bottlenecks in dataset handling for recommender systems. Previously slow processes involving Apache Spark and Airflow workflows now leverage Ray's parallelization, resulting in a significant reduction in training time. Ray’s support for CPU/GPU resource management and streaming execution has led to increased throughput and cost savings, improving ML engineer velocity and overall efficiency in managing large-scale data.