Which service is designed for data extraction, transformation, and loading tasks?

The service designed specifically for data extraction, transformation, and loading (ETL) tasks is AWS Glue. This fully managed service simplifies the process of preparing your data for analytics. AWS Glue provides capabilities to automatically discover and categorize your data, create ETL jobs to clean and transform that data, and efficiently load it into data stores such as Amazon S3, Amazon Redshift, or Amazon RDS for further analysis.

AWS Glue's flexibility allows it to handle various data formats and its ability to generate code automatically means that developers can focus on optimizing the ETL process rather than writing boilerplate code. Additionally, it integrates seamlessly with other AWS services, making it a powerful tool for building data lakes and pipelines.

In contrast, other options such as AWS Lake Formation focus more on managing and securing data lakes, AWS QuickSight is primarily a business intelligence service for data visualization and analysis, and AWS Translate is for language translation and not related to data processing tasks. This distinct purpose of AWS Glue makes it the ideal choice for ETL operations within the AWS ecosystem.