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	<title>Jason Hunter &#8211; Noise</title>
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		<title>Bulk Executor for Amazon DynamoDB, Part 2: Lessons we learned the hard way</title>
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		<dc:creator><![CDATA[Jason Hunter]]></dc:creator>
		<pubDate>Tue, 13 Oct 2026 14:23:33 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
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					<description><![CDATA[In Part 2 of our Bulk Executor for Amazon DynamoDB series, we share how we built the tool: the design tradeoffs, surprises, and workarounds we hit while working with DynamoDB and AWS Glue. Consider it a travel guide for anyone building their own bulk tooling on AWS Glue.]]></description>
		
		
		
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		<title>Enabling self-service data publication to your data lake using AWS Glue DataBrew</title>
		<link>https://noise.getoto.net/2020/12/03/enabling-self-service-data-publication-to-your-data-lake-using-aws-glue-databrew/</link>
		
		<dc:creator><![CDATA[Jason Hunter]]></dc:creator>
		<pubDate>Thu, 03 Dec 2020 19:11:32 +0000</pubDate>
				<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[Data lakes have been providing a level of flexibility to organizations unparalleled to anything before them. Having the ability to load and query data in place&#8212;and in its natural form&#8212;has led to an explosion of data lake deployments that have allowed organizations to accelerate against their data strategy faster than ever before. Most organizations have [&#8230;]]]></description>
		
		
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