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	<title>redshift &#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>Build an ETL process for Amazon Redshift using Amazon S3 Event Notifications and AWS Step Functions</title>
		<link>https://noise.getoto.net/2023/08/31/build-an-etl-process-for-amazon-redshift-using-amazon-s3-event-notifications-and-aws-step-functions/</link>
		
		<dc:creator><![CDATA[Ziad Wali]]></dc:creator>
		<pubDate>Thu, 31 Aug 2023 17:30:48 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[ELT]]></category>
		<category><![CDATA[ETL Pipelines]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[redshift]]></category>
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					<description><![CDATA[In this post we discuss how we can build and orchestrate in a few steps an ETL process for Amazon Redshift using Amazon S3 Event Notifications for automatic verification of source data upon arrival and notification in specific cases. And we show how to use AWS Step Functions for the orchestration of the data pipeline. It can be considered as a starting point for teams within organizations willing to create and build an event driven data pipeline from data source to data warehouse that will help in tracking each phase and in responding to failures quickly. Alternatively, you can also use Amazon Redshift auto-copy from Amazon S3 to simplify data loading from Amazon S3 into Amazon Redshift.]]></description>
		
		
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		<title>Accelerate self-service analytics with Amazon Redshift Query Editor V2</title>
		<link>https://noise.getoto.net/2021/11/08/accelerate-self-service-analytics-with-amazon-redshift-query-editor-v2/</link>
		
		<dc:creator><![CDATA[Bhanu Pittampally]]></dc:creator>
		<pubDate>Mon, 08 Nov 2021 17:28:52 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Redshift Spectrum]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[query editor]]></category>
		<category><![CDATA[redshift]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, fully managed cloud data warehouse. Tens of thousands of customers use Amazon Redshift as their analytics platform. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses. Amazon Redshift provides a web-based query editor in addition to supporting connectivity […]]]></description>
		
		
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