machine-learning video for a healthcare organization manages a large dataset containing patient records stored in Amazon S3. The dataset includes information
A healthcare organization manages a large dataset containing patient records stored in Amazon S3. The dataset includes information such as patient names, addresses, and phone numbers, but it contains duplicate records due to inconsistencies in data entry. Some duplicates are exact matches, while others have slight variations (e.g., spelling errors in names or incomplete addresses). The organization needs to identify and group duplicate records efficiently while ensuring minimal code development to streamline the deduplication process. Which solution on AWS will detect duplicates in the dataset with the LEAST operational overhead?