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	<title>Kunal Ghosh &#8211; Noise</title>
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		<title>Extract data from Amazon Aurora MySQL to Amazon S3 Tables in Apache Iceberg format</title>
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		<dc:creator><![CDATA[Kunal Ghosh]]></dc:creator>
		<pubDate>Mon, 23 Mar 2026 18:38:10 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[MySQL compatible]]></category>
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					<description><![CDATA[In this post, you learn how to set up an automated, end-to-end solution that extracts tables from Amazon Aurora MySQL Serverless v2 and writes them to Amazon S3 Tables in Apache Iceberg format using AWS Glue.]]></description>
		
		
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		<title>Author AWS Glue jobs with PyCharm using AWS Glue interactive sessions</title>
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		<dc:creator><![CDATA[Kunal Ghosh]]></dc:creator>
		<pubDate>Fri, 22 Apr 2022 16:48:42 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[Data lakes, business intelligence, operational analytics, and data warehousing share a common core characteristic—the ability to extract, transform, and load (ETL) data for analytics. Since its launch in 2017, AWS Glue has provided serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS […]]]></description>
		
		
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