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Answer: Use Amazon SageMaker Data Wrangler to prepare the data, Amazon EMR to analyze it, and Amazon QuickSight to visualize it.
For complex datasets that include both structured and unstructured data, Amazon SageMaker Data Wrangler is a good choice for data preparation as it provides a flexible and powerful environment for data cleaning and transformation. Amazon EMR can be used for analyzing the data, especially if the analysis requires the use of big data processing frameworks like Apache Spark. Finally, Amazon QuickSight can be used to visualize the results, providing interactive and scalable dashboards.
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You are tasked with visualizing a complex dataset that includes both structured and unstructured data. Which AWS services would you use to prepare, analyze, and visualize this data, and how would you integrate them to achieve the best results?
A
Use AWS Glue to prepare the data, Amazon Athena to analyze it, and Amazon QuickSight to visualize it.
B
Use Amazon SageMaker Data Wrangler to prepare the data, Amazon EMR to analyze it, and Amazon QuickSight to visualize it.
C
Use AWS Lambda to prepare the data, Amazon Redshift to analyze it, and Amazon QuickSight to visualize it.
D
Use Amazon S3 to store the data, Amazon Athena to analyze it, and Amazon QuickSight to visualize it.