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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: ray-data
description: Ray Data scalable data processing for ML pipelines. Use when building distributed data loading and transformation pipelines for training.
---
# Ray Data - Scalable ML Data Processing
Distributed data processing library for ML and AI workloads.
## When to use Ray Data
**Use Ray Data when:**
- Processing large datasets (>100GB) for ML training
- Need distributed data preprocessing across cluster