How does Amazon Athena integrate with AWS Glue?

How does Amazon Athena integrate with AWS Glue?

• A. Athena uses AWS Glue for data migration tasks
• B. Athena works with AWS Glue for real-time processing
• C. Athena uses the AWS Glue Data Catalog as its metadata repository
• D. Athena creates AWS Glue jobs for ETL

Answer: (C)

Amazon Athena integrates with AWS Glue primarily by utilizing the AWS Glue Data Catalog as its metadata repository. The Data Catalog is a central repository that stores metadata about data assets in S3, making it easier to discover, query, and manage data. When using Athena, users can query data stored in S3 directly by referencing the tables and schemas defined in the Glue Data Catalog. This integration allows for seamless identification and use of data without the need for repetitive data definition, enabling a more efficient querying process. Moreover, because the Glue Data Catalog supports features like partitioning and schema versioning, it optimizes the querying process in Athena, allowing users to get more accurate and timely insights from their data. This relationship greatly simplifies the workflow when managing datasets, particularly in a data lake architecture. The other options misinterpret the specific functionalities that Athena and Glue provide; for instance, Athena is not designed for real-time processing or data migration tasks, nor does it create AWS Glue jobs for ETL processes directly. Instead, these services complement each other in ways that enhance the data querying and management capabilities within the AWS ecosystem.

Amazon Athena integrates with AWS Glue primarily by utilizing the AWS Glue Data Catalog as its metadata repository. The Data Catalog is a central repository that stores metadata about data assets in S3, making it easier to discover, query, and manage data. When using Athena, users can query data stored in S3 directly by referencing the tables and schemas defined in the Glue Data Catalog. This integration allows for seamless identification and use of data without the need for repetitive data definition, enabling a more efficient querying process.

Moreover, because the Glue Data Catalog supports features like partitioning and schema versioning, it optimizes the querying process in Athena, allowing users to get more accurate and timely insights from their data. This relationship greatly simplifies the workflow when managing datasets, particularly in a data lake architecture.

The other options misinterpret the specific functionalities that Athena and Glue provide; for instance, Athena is not designed for real-time processing or data migration tasks, nor does it create AWS Glue jobs for ETL processes directly. Instead, these services complement each other in ways that enhance the data querying and management capabilities within the AWS ecosystem.