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Answer: Implement data partitioning and indexing strategies in the data catalog to improve query performance and scalability.
To ensure that the AWS Glue Data Catalog is scalable and can handle an increasing volume of data sources and schemas, you should implement data partitioning and indexing strategies. This improves query performance and enables the catalog to efficiently manage large volumes of data. Periodically reviewing and optimizing the catalog structure can be helpful, but it may not be sustainable as the volume of data grows. Using AWS Glue crawlers can help with discovering and cataloging new data sources, but it does not directly address scalability. Leveraging AWS Lake Formation can provide additional governance and access control features, but it is not the primary solution for ensuring scalability.
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Your company is using AWS Glue to process and analyze data from various sources. You need to ensure that the data catalog is scalable and can handle an increasing volume of data sources and schemas. What best practices should you follow to achieve this?
A
Periodically review and optimize the data catalog structure to accommodate the growing volume of data sources and schemas.
B
Implement data partitioning and indexing strategies in the data catalog to improve query performance and scalability.
C
Use AWS Glue crawlers to automatically discover and catalog new data sources and schemas as they are added.
D
Leverage AWS Lake Formation to manage and govern the data catalog, ensuring scalability and efficient access control.
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