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	<title>Suresh Patnam &#8211; Noise</title>
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		<title>Migrate a large data warehouse from Greenplum to Amazon Redshift using AWS SCT – Part 2</title>
		<link>https://noise.getoto.net/2022/07/15/migrate-a-large-data-warehouse-from-greenplum-to-amazon-redshift-using-aws-sct-part-2/</link>
		
		<dc:creator><![CDATA[Suresh Patnam]]></dc:creator>
		<pubDate>Fri, 15 Jul 2022 18:17:52 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
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					<description><![CDATA[In this second post of a multi-part series, we share best practices for choosing the optimal Amazon Redshift cluster, data architecture, converting stored procedures, compatible functions and queries widely used for SQL conversions, and recommendations for optimizing the length of data types for table columns. You can check out the first post of this series […]]]></description>
		
		
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		<title>Migrate a large data warehouse from Greenplum to Amazon Redshift using AWS SCT – Part 1</title>
		<link>https://noise.getoto.net/2022/07/15/migrate-a-large-data-warehouse-from-greenplum-to-amazon-redshift-using-aws-sct-part-1/</link>
		
		<dc:creator><![CDATA[Suresh Patnam]]></dc:creator>
		<pubDate>Fri, 15 Jul 2022 18:16:58 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
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					<description><![CDATA[A data warehouse collects and consolidates data from various sources within your organization. It’s used as a centralized data repository for analytics and business intelligence. When working with on-premises legacy data warehouses, scaling the size of your data warehouse or improving performance can mean purchasing new hardware or adding more powerful hardware. This is often […]]]></description>
		
		
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