Amazon SageMaker Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare high-quality features for machine learning (ML) applications via a visual interface. 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, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface.
In this post, we dive into different aspects of data preparation and the associated features of Data Wrangler to understand the cost components of data preparation and how Data Wrangler offers a cost-effective approach to data preparation. We also cover cost optimization best practices to further reduce data preparation costs in Data Wrangler.
Overview of exploratory data analysis (EDA) and data preparation in Data Wrangler

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