
    AWS Clean Rooms ML now enables custom ML model training using Parquet file format, offering more efficient data processing and support for diverse data types while maintaining data privacy.


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<p>
AWS Clean Rooms ML now supports training custom machine learning models using Parquet file format, offering enhanced data processing capabilities.
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<ul>
<li>Parquet is a free, open-source column-oriented data storage format with efficient compression</li>
<li>Enables processing large data volumes more efficiently</li>
<li>Supports encoding non-text data like images and binary datatypes</li>
<li>Allows partners to train ML models collaboratively without sharing raw data</li>
<li>Provides privacy-enhancing controls to protect proprietary data and models</li>
</ul>
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The update expands AWS Clean Rooms ML's capabilities, allowing more flexible and secure machine learning model training across partnerships.
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AWS Clean Rooms ML now supports Parquet file format

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