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	<title>Raju Ansari &#8211; Noise</title>
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		<title>Improve DynamoDB analytics with AWS Glue zero-ETL schema and partition controls</title>
		<link>https://noise.getoto.net/2026/05/11/improve-dynamodb-analytics-with-aws-glue-zero-etl-schema-and-partition-controls/</link>
		
		<dc:creator><![CDATA[Raju Ansari]]></dc:creator>
		<pubDate>Mon, 11 May 2026 18:51:22 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Data Integrations]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[DynamoDB]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[zero-ETL]]></category>
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					<description><![CDATA[In this post, you learn how to replicate Amazon DynamoDB data to Apache Iceberg tables in Amazon S3 through a zero-ETL integration. We walk through the challenges that the DynamoDB nested, schema-flexible data model introduces for analytics workloads, and show you how to configure schema unnesting and data partitioning for a sample product catalog table. We also cover how to query the replicated data in Amazon Athena using standard SQL.]]></description>
		
		
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