Amazon Athena is a serverless data analytics tool introduced by AWS to provide scalable and fast results. While it is a cost-effective option, poor query performance can impact applications and user experience. To optimize Athena, consider data file formats, sizes, and compression methods. Partitioning data can enhance performance by reducing the number of queries. Review consultations and limit queries to improve efficiency. Reuse query results and manage costs by choosing between the default compute capacity option or the provisioned capacity option. Monitor usage patterns using tools like CloudWatch to optimize performance. Overall, following these best practices can maximize the benefits of Amazon Athena for data analytics purposes.
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Improve Amazon Athena Performance with These 5 Optimization Tips | TechTarget
