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A data engineer is tasked with preparing a dataset for machine learning using AWS Glue DataBrew. The dataset contains several inconsistencies, including missing values, combined fields, and some redundant columns. The data engineer wants to visually inspect and transform the dataset without writing code and ensure that transformations are automated to run on a regular schedule. Which of the following approaches would best address these requirements?