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	<title>Yanzhu Ji &#8211; Noise</title>
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		<title>Amazon Redshift enhances security by changing default behavior in 2025</title>
		<link>https://noise.getoto.net/2025/01/30/amazon-redshift-enhances-security-by-changing-default-behavior-in-2025/</link>
		
		<dc:creator><![CDATA[Yanzhu Ji]]></dc:creator>
		<pubDate>Thu, 30 Jan 2025 18:19:00 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[redshift]]></category>
		<category><![CDATA[Security Blog]]></category>
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					<description><![CDATA[Today, I’m thrilled to announce that Amazon Redshift, a widely used, fully managed, petabyte-scale data warehouse, is taking a significant step forward in strengthening the default security posture of our customers’ data warehouses. Some default security settings for newly created provisioned clusters, Amazon Redshift Serverless workgroups, and clusters restored from snapshots have changed. These changes […]]]></description>
		
		
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		<title>Improve performance of workloads containing repetitive scan filters with multidimensional data layout sort keys in Amazon Redshift</title>
		<link>https://noise.getoto.net/2023/11/28/improve-performance-of-workloads-containing-repetitive-scan-filters-with-multidimensional-data-layout-sort-keys-in-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Yanzhu Ji]]></dc:creator>
		<pubDate>Tue, 28 Nov 2023 05:24:59 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Foundational (100)]]></category>
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					<description><![CDATA[Amazon Redshift, the most widely used cloud data warehouse, has evolved significantly to meet the performance requirements of the most demanding workloads. This post covers one such new feature—the multidimensional data layout sort key. Amazon Redshift now improves your query performance by supporting multidimensional data layout sort keys, which is a new type of sort […]]]></description>
		
		
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		<title>Use the new SQL commands MERGE and QUALIFY to implement and validate change data capture in Amazon Redshift</title>
		<link>https://noise.getoto.net/2023/09/22/use-the-new-sql-commands-merge-and-qualify-to-implement-and-validate-change-data-capture-in-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Yanzhu Ji]]></dc:creator>
		<pubDate>Fri, 22 Sep 2023 16:47:48 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Uncategorized]]></category>
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					<description><![CDATA[Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS, which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS. Amazon Redshift has recently added many SQL commands and expressions. In this post, we talk about two new SQL features, the MERGE command and QUALIFY clause, which simplify data ingestion and data filtering.]]></description>
		
		
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