Amazon SageMaker Data Wrangler accelerates onboarding with sample dataset and guided feature discovery

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. 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. Customers using Data Wrangler can import data from Amazon S3, Amazon Athena, Amazon Redshift, Snowflake, Databricks Lakehouse Platform and more coming.

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