A marketing company receives a large amount of new clickstream data in Amazon S3 from a marketing campaign. The company needs to analyze the clickstream data in Amazon S3 quickly. Then the company needs to determine whether to process the data further in the data pipeline.
Which solution will meet these requirements with the LEAST operational overhead?
The solution that meets the requirements with the least operational overhead is to configure an AWS Glue crawler to crawl the data and configure Amazon Athena to query the data. AWS Glue is a fully managed ETL service, which simplifies the process of crawling, cataloging, and transforming datasets with minimal operational effort. Amazon Athena is a serverless query service that allows you to analyze data directly in S3 using standard SQL. This combination minimizes the need for infrastructure management and allows for efficient and flexible querying of the data stored in Amazon S3.
AWS Glue with Athena (Option B): AWS Glue is a fully managed extract, transform, and load (ETL) service, and Athena is a serverless query service that allows you to analyze data directly in Amazon S3 using SQL queries. By configuring an AWS Glue crawler to crawl the data, you can create a schema for the data, and then use Athena to query the data directly without the need to load it into a separate database. This minimizes operational overhead.
Neither Glue nor EMR nor Kinesis are used "to query the data"
Option B - leverages serverless services that minimise management tasks and allows the company to focus on querying and analysing the data with the LEAST operational overhead.
It says to quickly analyze the data, Athena can’t do it so it’s D