An analytics team frequently runs complex Amazon aws video

October 01, 2025  ·  PT1H46M27S  ·  EN

data-engineer video for an analytics team frequently runs complex Amazon Athena queries on a dataset stored in an Amazon S3 bucket, with AWS Glue Data Catalog

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An analytics team frequently runs complex Amazon Athena queries on a dataset stored in an Amazon S3 bucket, with AWS Glue Data Catalog serving as the metadata repository. They've identified a slowdown in Athena query plans and attribute it to the excessive number of S3 partitions. The team needs to enhance query performance and reduce the time Athena takes in query planning. Which two measures should the team take to meet these performance goals? (Select TWO.)