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  2. Mar 24, 2017 · Athena is easy to use, simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. In this post, we review the top 10 tips that can improve query performance. We focus on aspects related to storing data in Amazon S3 and tuning specific to queries.

  3. Sep 9, 2024 · This topic provides general information and specific suggestions for improving the performance of your Athena queries, and how to work around errors related to limits and resource usage.

  4. For more information, see Working with partition indexes in AWS Glue in the AWS Glue Developer Guide and Improve Amazon Athena query performance using AWS Glue Data Catalog partition indexes in the AWS Big Data Blog.

  5. Use the query optimization techniques described in this section to make queries run faster or as workarounds for queries that exceed resource limits in Athena.

  6. Jun 6, 2022 · June 6, 2022. Table of Contents. What is Amazon Athena? Understanding Athena Performance. SQLake Brings Free, Automated Performance Optimization to Amazon Athena Users. How Does Athena Achieve High Performance? Athena Performance Issues. 7 Top Performance Tuning Tips for Amazon Athena. Data Preparation for Athena – Spark vs Alternatives.

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  7. Jul 8, 2024 · Amazon Athena can provide an efficient, cost-effective method of data analysis. But did you properly optimize Athena performance to see these benefits?

  8. Athena meet its performance promise. In this white paper, you will learn: •What is AWS Athena? •Understanding Athena performance •Performance issues you can face with Athena •Top 6 performance tuning tips for Amazon Athena •Using Amazon Athena for streaming data 2