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	<title>Harsha Tadiparthi &#8211; Noise</title>
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		<title>Scale read and write workloads with Amazon Redshift</title>
		<link>https://noise.getoto.net/2022/12/13/scale-read-and-write-workloads-with-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Harsha Tadiparthi]]></dc:creator>
		<pubDate>Tue, 13 Dec 2022 16:59:40 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Lake]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, fully managed, petabyte-scale cloud data warehouse that enables you to analyze large datasets using standard SQL. The concurrency scaling feature in Amazon Redshift automatically adds and removes capacity by adding concurrency scaling to handle demands from thousands of concurrent users, thereby providing consistent SLAs for unpredictable and spiky workloads such […]]]></description>
		
		
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		<title>Sharing Amazon Redshift data securely across Amazon Redshift clusters for workload isolation</title>
		<link>https://noise.getoto.net/2020/12/18/sharing-amazon-redshift-data-securely-across-amazon-redshift-clusters-for-workload-isolation/</link>
		
		<dc:creator><![CDATA[Harsha Tadiparthi]]></dc:creator>
		<pubDate>Fri, 18 Dec 2020 17:48:27 +0000</pubDate>
				<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
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					<description><![CDATA[Amazon Redshift data sharing allows for a secure and easy way to share live data for read purposes across Amazon Redshift clusters. Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. It allows [&#8230;]]]></description>
		
		
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		<title>Configure and optimize performance of Amazon Athena federation with Amazon Redshift</title>
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		<dc:creator><![CDATA[Harsha Tadiparthi]]></dc:creator>
		<pubDate>Wed, 26 Aug 2020 20:21:21 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[database]]></category>
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					<description><![CDATA[This post provides guidance on how to configure Amazon Athena federation with AWS Lambda and Amazon Redshift, while addressing performance considerations to ensure proper use.]]></description>
		
		
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