Topic 1 Question 58
A data engineer needs to maintain a central metadata repository that users access through Amazon EMR and Amazon Athena queries. The repository needs to provide the schema and properties of many tables. Some of the metadata is stored in Apache Hive. The data engineer needs to import the metadata from Hive into the central metadata repository. Which solution will meet these requirements with the LEAST development effort?
Use Amazon EMR and Apache Ranger.
Use a Hive metastore on an EMR cluster.
Use the AWS Glue Data Catalog.
Use a metastore on an Amazon RDS for MySQL DB instance.
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コメント(3)
- 正解だと思う選択肢: C
https://aws.amazon.com/blogs/big-data/metadata-classification-lineage-and-discovery-using-apache-atlas-on-amazon-emr/ Option C, using the AWS Glue Data Catalog, is the best solution to meet the requirements with the least development effort. The AWS Glue Data Catalog is designed to be a central metadata repository that can integrate with various AWS services including EMR and Athena, providing a managed and scalable solution for metadata management with built-in Hive compatibility.
👍 6rralucard_2024/02/02 Option C, using the AWS Glue Data Catalog, requires the least development effort to meet the requirements for a central metadata repository accessed from EMR and Athena.
👍 2Felix_G2024/03/02- 正解だと思う選択肢: C
Data Catalog.
👍 1vic6142024/06/20
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