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	<title>Shaheer Mansoor &#8211; Noise</title>
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		<title>Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg</title>
		<link>https://noise.getoto.net/2024/10/30/modernize-your-legacy-databases-with-aws-data-lakes-part-2-build-a-data-lake-using-aws-dms-data-on-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Shaheer Mansoor]]></dc:creator>
		<pubDate>Wed, 30 Oct 2024 20:15:02 +0000</pubDate>
				<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake (Apache Iceberg) using AWS Glue. We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. To review the first part of the series, where we load SQL Server data into Amazon Simple Storage Service (Amazon S3) using AWS Database Migration Service (AWS DMS), see Modernize your legacy databases with AWS data lakes, Part 1: Migrate SQL Server using AWS DMS.]]></description>
		
		
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