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	<title>Amazon ML Solutions Lab &#8211; Noise</title>
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		<title>Build a semantic search engine for tabular columns with Transformers and Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2023/03/01/build-a-semantic-search-engine-for-tabular-columns-with-transformers-and-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Kachi Odoemene]]></dc:creator>
		<pubDate>Wed, 01 Mar 2023 19:52:28 +0000</pubDate>
				<category><![CDATA[Amazon ML Solutions Lab]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[embedding]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. The inability to accurately find and analyze data from disparate sources represents a potential efficiency killer for everyone from data scientists, medical researchers, academics, to financial and government analysts. Conventional […]]]></description>
		
		
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