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What is the best way to optimize AWS Athena partition pruning and reduce S3 scan costs when querying massive partitioned Parquet datasets from a legacy ETL?

ChatGPTgpt-61 query11/1/2026
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What is the best way to optimize AWS Athena partition pruning and reduce S3 scan costs when querying massive partitioned Parquet datasets from a legacy ETL?
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AWS Athena documentation partition pruning partition projection Parquet columnar filtering EXPLAIN ANALYZE data scanned optimizationGoogle ↗
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ChatGPT1 real searches · gpt-6
AWS Athena documentation partition pruning partition projection Parquet columnar filtering EXPLAIN ANALYZE data scanned optimization Google ↗
  1. Optimize data · docs.aws.amazon.com
  2. Amazon Athena FAQs – Serverless Interactive Query Service · aws.amazon.com
  3. Athena performance optimization guide · docs.aws.amazon.com
  4. Partition your data · docs.aws.amazon.com
  5. Use partition projection with Amazon Athena · docs.aws.amazon.com

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Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
AWS Athena documentation partition pruning partition projection Parquet columnar filtering EXPLAIN ANALYZE data scanned optimization
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