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Answer: Use AWS Glue to automate the detection and correction of data inconsistencies.
AWS Glue provides robust capabilities for data cleansing by automating the detection and correction of inconsistencies. It can handle missing values through imputation techniques, detect and manage outliers, and correct data type inconsistencies, making it a comprehensive tool for data preparation.
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You are working with a dataset that contains inconsistencies and missing values. Describe a systematic approach to cleanse this data using AWS services. Include techniques for handling missing values, outliers, and data type inconsistencies.
A
Delete rows with missing values and outliers to simplify the dataset.
B
Use AWS Glue to automate the detection and correction of data inconsistencies.
C
Manually inspect and correct each inconsistency in the dataset.
D
Use Amazon SageMaker to build a model that predicts and fills missing values.
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