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	<title>Mohammad Sabeel &#8211; Noise</title>
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		<title>Build an analytics pipeline that is resilient to Avro schema changes using Amazon Athena</title>
		<link>https://noise.getoto.net/2025/07/25/build-an-analytics-pipeline-that-is-resilient-to-avro-schema-changes-using-amazon-athena/</link>
		
		<dc:creator><![CDATA[Mohammad Sabeel]]></dc:creator>
		<pubDate>Fri, 25 Jul 2025 16:33:06 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[This post demonstrates how to build a solution by combining Amazon Simple Storage Service (Amazon S3) for data storage, AWS Glue Data Catalog for schema management, and Amazon Athena for one-time querying. We'll focus specifically on handling Avro-formatted data in partitioned S3 buckets, where schemas can change frequently while providing consistent query capabilities across all data regardless of schema versions.]]></description>
		
		
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