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	<title>Shinu Tharol &#8211; Noise</title>
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		<title>Accelerating log analytics at scale with AWS Glue and Apache Iceberg materialized views</title>
		<link>https://noise.getoto.net/2026/07/02/accelerating-log-analytics-at-scale-with-aws-glue-and-apache-iceberg-materialized-views/</link>
		
		<dc:creator><![CDATA[Shinu Tharol]]></dc:creator>
		<pubDate>Thu, 02 Jul 2026 17:46:18 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[In this post, you learn how to build an application log pipeline for production use with Amazon CloudWatch Logs, AWS Lambda, Amazon Data Firehose, AWS Glue, and Apache Iceberg materialized tables. You then use materialized views to accelerate query performance. This solution helps you achieve faster query response times on large-scale log data without requiring you to manage continuous data lake refresh.]]></description>
		
		
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