A data engineer is working with a large dataset of customer reviews stored in Amazon S3. The reviews contain various emojis, special characters, and HTML tags that need to be removed before the data can be used for sentiment analysis. The dataset is several terabytes in size and needs to be processed efficiently. Which AWS service is most suitable for performing this large-scale text cleaning and preprocessing?

Why the other options are wrong

• A. Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. It is not designed for large-scale data transformation or cleaning.
• B. Amazon Textract is a machine learning service that automatically extracts text and data from scanned documents. It is not for cleaning existing text data.
• D. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. While it can analyze text, it is not primarily a data cleaning or preprocessing tool for raw input text data like AWS Glue.