
    AWS Clean Rooms now offers advanced Spark SQL query configurations, enabling users to customize performance, compute sizes, and optimize query processing with greater runtime flexibility.


<div>
<p>
AWS Clean Rooms has launched advanced configurations to enhance SQL query performance and optimization for Spark-based queries.
</p>
<ul>
<li>Allows customization of Spark properties at runtime</li>
<li>Enables configuration of compute sizes and partition settings</li>
<li>Supports table data caching to improve performance and reduce costs</li>
<li>Provides flexibility for complex queries with large datasets</li>
<li>Allows runtime optimization without modifying SQL queries</li>
</ul>
<p>
The new features help users like advertisers optimize their data analysis by fine-tuning computational resources and query performance in a secure collaborative environment.
</p>
</div>


AWS Clean Rooms launches advanced configurations to optimize SQL performance

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