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Answer: Leverage the AWS Glue Data Catalog's extensibility features to define custom schemas and integrate them with the existing data warehouse schema.
To ensure compatibility and proper integration with the AWS Glue Data Catalog for a custom schema, you should leverage the catalog's extensibility features to define custom schemas. This allows you to maintain the existing data warehouse schema while integrating it with the AWS Glue Data Catalog. Manually recreating the schema or using an AWS Glue job to transform it may result in data loss or inaccuracies. Creating a separate data catalog is not the most efficient approach and can lead to increased complexity.
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Your company is migrating an existing data warehouse to AWS. The data warehouse uses a custom schema that is not natively supported by AWS Glue Data Catalog. How can you ensure compatibility and proper integration with the AWS Glue Data Catalog?
A
Manually recreate the custom schema in the AWS Glue Data Catalog to match the existing data warehouse schema.
B
Use an AWS Glue job to transform the custom schema into a format that is compatible with the AWS Glue Data Catalog.
C
Leverage the AWS Glue Data Catalog's extensibility features to define custom schemas and integrate them with the existing data warehouse schema.
D
Create a separate data catalog for the custom schema and use AWS Glue to map the relationships between the two catalogs.
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