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AWS Certified Data Engineer - Associate · AWS
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Data Catalog.
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.
Here's an analysis of each option: A) Amazon EMR and Apache Ranger would require significant coding to build a custom metadata repository solution B) A Hive metastore provides metadata to EMR, but would require substantial development work to share that metadata with Athena C) The AWS Glue Data Catalog integrates natively with EMR and Athena, providing a shared schema registry, making it the easiest solution D) An RDS database metastore would also require building custom integration points with Athena, EMR, and other services to enable metadata sharing Since AWS Glue provides a fully managed data catalog service purpose built for this metadata management use case across different analytics engines, Option C clearly stands out as the solution requiring the least development effort.