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	<title>Aniket Jiddigoudar &#8211; Noise</title>
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		<title>Exploring new ETL and ELT capabilities for Amazon Redshift from the AWS Glue Studio visual editor</title>
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		<dc:creator><![CDATA[Aniket Jiddigoudar]]></dc:creator>
		<pubDate>Thu, 20 Apr 2023 16:45:57 +0000</pubDate>
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					<description><![CDATA[In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. In particular, we have observed an increasing number of customers who combine and integrate their data into an Amazon Redshift data warehouse to analyze huge data at scale and […]]]></description>
		
		
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		<title>Getting started with AWS Glue Data Quality from the AWS Glue Data Catalog</title>
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		<dc:creator><![CDATA[Aniket Jiddigoudar]]></dc:creator>
		<pubDate>Fri, 16 Dec 2022 18:03:37 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of […]]]></description>
		
		
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		<title>Introducing AWS Glue Flex jobs: Cost savings on ETL workloads</title>
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		<dc:creator><![CDATA[Aniket Jiddigoudar]]></dc:creator>
		<pubDate>Tue, 09 Aug 2022 00:12:46 +0000</pubDate>
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