Which AWS service focuses on extracting data from various sources?

The correct choice, AWS Glue, is a fully managed extract, transform, and load (ETL) service designed specifically for preparing data for analytics. It makes it easy to move and transform data from various sources, such as data lakes, databases, and data warehouses, and handles the complexities of data processing automatically. AWS Glue can discover and catalog your data, as well as execute ETL jobs to clean and organize the data stored in different formats and sources, thus making it ready for analysis.

The focus on data extraction makes AWS Glue particularly valuable in a data analytics context, as it simplifies the pipeline creation needed for robust data processing. This service integrates seamlessly with other AWS services, allowing users to gather data from various sources efficiently and prepare it for further analysis or storage in services like Amazon S3 or Amazon Redshift.

In contrast, Amazon QuickSight is a business intelligence service that allows for visualization and analysis of data rather than focusing on data extraction. Amazon Redshift is a data warehouse service designed for query performance and storage of processed data, while Amazon Athena is an interactive query service that allows you to analyze data directly in Amazon S3 using standard SQL but does not perform the data extraction process itself. Therefore, AWS Glue stands out as the service specifically