Which service allows you to perform SQL queries on data stored in S3 without loading it into a database?

Which service allows you to perform SQL queries on data stored in S3 without loading it into a database?

• A. Amazon Redshift
• B. Amazon Athena
• C. Amazon RDS
• D. AWS Glue

Answer: (B)

Amazon Athena is a serverless interactive query service that allows users to perform SQL queries directly on data stored in Amazon S3 without the need to load it into a separate database. This capability is particularly advantageous for analyzing large datasets stored in S3 because it simplifies the workflow and reduces overhead associated with data preparation and loading. With Athena, you can easily analyze structured and semi-structured data by simply defining the schema in the query, making it an efficient option for ad-hoc querying and analysis. Its integration with standard SQL means users can leverage their existing SQL knowledge to extract insights from their data directly in S3 without setting up complex infrastructures or managing servers. This functionality makes Athena an ideal choice for use cases such as log analysis, data exploration, and quick data analysis activities where loading data into a dedicated database would be unnecessarily time-consuming or resource-intensive. In contrast, other services mentioned, like Redshift, RDS, and Glue, have different primary functions that may involve data loading and management in databases or ETL processes.

Amazon Athena is a serverless interactive query service that allows users to perform SQL queries directly on data stored in Amazon S3 without the need to load it into a separate database. This capability is particularly advantageous for analyzing large datasets stored in S3 because it simplifies the workflow and reduces overhead associated with data preparation and loading.

With Athena, you can easily analyze structured and semi-structured data by simply defining the schema in the query, making it an efficient option for ad-hoc querying and analysis. Its integration with standard SQL means users can leverage their existing SQL knowledge to extract insights from their data directly in S3 without setting up complex infrastructures or managing servers.

This functionality makes Athena an ideal choice for use cases such as log analysis, data exploration, and quick data analysis activities where loading data into a dedicated database would be unnecessarily time-consuming or resource-intensive. In contrast, other services mentioned, like Redshift, RDS, and Glue, have different primary functions that may involve data loading and management in databases or ETL processes.