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A retail company uses AWS Glue DataBrew to clean and prepare customer data for analytics. The data is stored in various formats, including CSV and JSON, in Amazon S3. The company wants to ensure consistent formatting across the datasets by removing null values, standardizing column names, and converting dates into a uniform format. What is the best approach to achieve this with AWS Glue DataBrew?