AWS – Prepare data for machine learning faster and easier on Amazon SageMaker Data Wrangler with support for more data sources and distributed jobs

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. Starting today, you can use new capabilities of Amazon SageMaker Data Wrangler that make it easier and faster to prepare data for machine learning including: cross-account access for Amazon S3, support for up to 1000 columns of data, distributed jobs, and a new SageMaker Data Wrangler notebook experience.

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