DEA-C01 Question 405
Single answerYou are working as a Data Engineer for a retail company. Your team is tasked with building a data pipeline to analyze customer purchase behavior. Before proceeding with data transformation, you want to understand the structure, distribution, and quality of the data in your Amazon S3 data lake. Which of the following AWS services or features would you use for data profiling?
- A
AWS Glue DataBrew
- B
Amazon Redshift
- C
Amazon Athena
- D
AWS Lambda
Show answer and explanation
Correct answer: A
Explanation
Data profiling is an essential step in understanding your dataset's structure, quality, and distribution before performing data transformations or analytics. AWS Glue DataBrew is specifically designed for this purpose, offering visualizations and insights into your data without requiring extensive coding. While other services like Athena and Redshift are useful for querying and analytics, they do not provide dedicated data profiling capabilities.
- A. Correct.
AWS Glue DataBrew provides powerful data profiling capabilities, enabling you to analyze and visualize the quality, distribution, and structure of your data without writing code.
- B. Incorrect.
Amazon Redshift is a data warehousing service designed for analytical queries, but it does not natively offer data profiling capabilities.
- C. Incorrect.
Amazon Athena is an interactive query service for analyzing data in Amazon S3 using standard SQL, but it does not include built-in data profiling tools.
- D. Incorrect.
AWS Lambda is a serverless compute service that allows you to run code in response to events, but it is not designed for data profiling tasks.