What is the main use of AWS Glue?

The primary use of AWS Glue is data integration, which allows organizations to effortlessly prepare and transform their data for analysis. AWS Glue serves as a fully managed extract, transform, load (ETL) service that helps in discovering, cataloging, and transforming data from various sources so that it can be used for analytics, machine learning, and application development.

AWS Glue simplifies the data preparation process by automatically generating code needed for data transformations. It also makes it easier to clean, enrich, and format data from disparate sources, making it more suitable for analytics or machine learning workloads. The AWS Glue Data Catalog serves as a central repository for metadata, which helps in managing and organizing the data effectively.

In contrast, while video analysis pertains to processing video data often using specialized services, batch processing typically refers to the handling of large volumes of data in bulk rather than in real-time. Cloud computing is a broader concept that encompasses various services and technologies, not specifically focused on data integration. Therefore, among the given options, data integration distinctly captures the essence of what AWS Glue is designed to do.