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	<title>Poulomi Dasgupta &#8211; Noise</title>
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		<title>Set up cross-account AWS Glue Data Catalog access using AWS Lake Formation and AWS IAM Identity Center with Amazon Redshift and Amazon QuickSight</title>
		<link>https://noise.getoto.net/2024/08/05/set-up-cross-account-aws-glue-data-catalog-access-using-aws-lake-formation-and-aws-iam-identity-center-with-amazon-redshift-and-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Poulomi Dasgupta]]></dc:creator>
		<pubDate>Mon, 05 Aug 2024 17:43:39 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
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		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS IAM Identity Center]]></category>
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					<description><![CDATA[In this post, we cover how to enable trusted identity propagation with AWS IAM Identity Center, Amazon Redshift, and AWS Lake Formation residing on separate AWS accounts and set up cross-account sharing of an S3 data lake for enterprise identities using AWS Lake Formation to enable analytics using Amazon Redshift. Then we use Amazon QuickSight to build insights using Redshift tables as our data source.]]></description>
		
		
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		<title>Best practices to implement near-real-time analytics using Amazon Redshift Streaming Ingestion with Amazon MSK</title>
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		<dc:creator><![CDATA[Poulomi Dasgupta]]></dc:creator>
		<pubDate>Mon, 11 Mar 2024 16:58:56 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
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					<description><![CDATA[Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. You can run […]]]></description>
		
		
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		<title>Near-real-time analytics using Amazon Redshift streaming ingestion with Amazon Kinesis Data Streams and Amazon DynamoDB</title>
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		<dc:creator><![CDATA[Poulomi Dasgupta]]></dc:creator>
		<pubDate>Thu, 27 Jul 2023 17:13:27 +0000</pubDate>
				<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse. You can run and […]]]></description>
		
		
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		<title>Accelerate orchestration of an ELT process using AWS Step Functions and Amazon Redshift Data API</title>
		<link>https://noise.getoto.net/2023/01/10/accelerate-orchestration-of-an-elt-process-using-aws-step-functions-and-amazon-redshift-data-api/</link>
		
		<dc:creator><![CDATA[Poulomi Dasgupta]]></dc:creator>
		<pubDate>Tue, 10 Jan 2023 17:42:15 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Extract, Load, and Transform (ELT) is a modern design strategy where raw data is first loaded into the data warehouse and then transformed with familiar Structured Query Language (SQL) semantics leveraging the power of massively parallel processing (MPP) architecture of the data warehouse. When you use an ELT pattern, you can also use your existing […]]]></description>
		
		
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		<title>Cross-account streaming ingestion for Amazon Redshift</title>
		<link>https://noise.getoto.net/2022/09/06/cross-account-streaming-ingestion-for-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Poulomi Dasgupta]]></dc:creator>
		<pubDate>Tue, 06 Sep 2022 17:38:19 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
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					<description><![CDATA[As the most widely used and fastest cloud data warehouse, Amazon Redshift makes it simple and cost-effective to analyze all your data using standard SQL, your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools quickly and securely. Tens of thousands of customers use Amazon Redshift to analyze exabytes of data per […]]]></description>
		
		
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