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Answer: Use AWS Glue to perform ETL, then analyze the data with Amazon QuickSight.
AWS Glue is ideal for performing ETL operations on data stored in S3, preparing it for analysis. Once transformed, Amazon QuickSight can be used to analyze the data and identify patterns in customer behavior, leveraging its powerful visualization and analytics capabilities.
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You are tasked with analyzing a dataset to identify patterns in customer behavior. The dataset is stored in Amazon S3 and includes various attributes such as purchase history, demographics, and web activity. Describe how you would use AWS services to perform this analysis, including data extraction, transformation, and loading steps.
A
Directly query the data in S3 using Amazon Athena without any ETL.
B
Use AWS Glue to perform ETL, then analyze the data with Amazon QuickSight.
C
Download the data to a local server for ETL and analysis.
D
Use Amazon Redshift for data warehousing and analysis.
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