Data scientists can spend up to 80% of their time preparing data for machine learning (ML) projects. This preparation process is largely undifferentiated and tedious work, and can involve multiple programming APIs and custom libraries. Announced at AWS re:Invent 2020, Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes. With Data Wrangler, you can simplify the process of data preparation and feature engineering. You can complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization, from a single visual interface. For more information about how …
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