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Given that AWS Glue is underperforming, what other ETL tools would you consider using to handle unstructured data in the data warehouse?

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If AWS Glue isn't meeting performance needs for unstructured data ETL, I would first evaluate alternative solutions based on specific requirements like scalability, cost, and integration complexity. Potential candidates include Apache Spark (often via Databricks or EMR for managed environments), Apache NiFi for its flow-based programming and data routing capabilities, or cloud-agnostic tools like Talend or Informatica if a multi-cloud or hybrid strategy is in play. Each would be prototyped to validate performance and suitability before committing.

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