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	<title>Nitin Kumar &#8211; Noise</title>
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		<title>Unlock real-time data insights with schema evolution using Amazon MSK Serverless, Iceberg, and AWS Glue streaming</title>
		<link>https://noise.getoto.net/2025/10/23/unlock-real-time-data-insights-with-schema-evolution-using-amazon-msk-serverless-iceberg-and-aws-glue-streaming/</link>
		
		<dc:creator><![CDATA[Nitin Kumar]]></dc:creator>
		<pubDate>Thu, 23 Oct 2025 19:54:50 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
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					<description><![CDATA[This post showcases a solution that businesses can use to access real-time data insights without the traditional delays between data creation and analysis. By combining Amazon MSK Serverless, Debezium MySQL connector, AWS Glue streaming, and Apache Iceberg tables, the architecture captures database changes instantly and makes them immediately available for analytics through Amazon Athena. A standout feature is the system's ability to automatically adapt when database structures change—such as adding new columns—without disrupting operations or requiring manual intervention.]]></description>
		
		
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		<title>Migrate Delta tables from Azure Data Lake Storage to Amazon S3 using AWS Glue</title>
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		<dc:creator><![CDATA[Nitin Kumar]]></dc:creator>
		<pubDate>Tue, 10 Sep 2024 14:59:36 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Organizations are increasingly using a multi-cloud strategy to run their production workloads. We often see requests from customers who have started their data journey by building data lakes on Microsoft Azure, to extend access to the data to AWS services. Customers want to use a variety of AWS analytics, data, AI, and machine learning (ML) […]]]></description>
		
		
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