Data Processing with Ray Data (Example)

Learn how to preprocess large datasets with Ray Data by loading a public dataset, converting it into a distributed Ray Dataset, and applying common transformations like adding IDs, filtering rows, and joining with a second dataset. By the end, you’ll be able to build scalable data preparation workflows that run locally or on a Ray cluster.

• Data Processing with Ray Data
• Library Imports
• Convert to Ray Dataset
• Filter Ray Dataset
• Join Two Ray Datasets
• Preprocessing with a Tokenizer