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	<title>Satesh Sonti &#8211; Noise</title>
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		<title>Simplify multi-warehouse data governance with Amazon Redshift federated permissions</title>
		<link>https://noise.getoto.net/2026/01/05/simplify-multi-warehouse-data-governance-with-amazon-redshift-federated-permissions/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Mon, 05 Jan 2026 21:20:01 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Amazon Redshift federated permissions simplify permissions management across multiple Redshift warehouses. In this post, we show you how to define data permissions one time and automatically enforce them across warehouses in your AWS account, removing the need to re-create security policies in each warehouse.]]></description>
		
		
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		<item>
		<title>Save up to 24% on Amazon Redshift Serverless compute costs with Reservations</title>
		<link>https://noise.getoto.net/2025/11/25/save-up-to-24-on-amazon-redshift-serverless-compute-costs-with-reservations/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Mon, 24 Nov 2025 22:14:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Cloud Cost Optimization]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[In this post, you learn how Amazon Redshift Serverless Reservations can help you lower your data warehouse costs. We explore ways to determine the optimal number of RPUs to reserve, review example scenarios, and discuss important considerations when purchasing these reservations.]]></description>
		
		
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		<item>
		<title>Scalable analytics and centralized governance for Apache Iceberg tables using Amazon S3 Tables and Amazon Redshift</title>
		<link>https://noise.getoto.net/2025/05/22/scalable-analytics-and-centralized-governance-for-apache-iceberg-tables-using-amazon-s3-tables-and-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Thu, 22 May 2025 16:22:48 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[In this post, we’ll build on the first post in this series to show you how to set up an Apache Iceberg data lake catalog using Amazon S3 Tables and provide different levels of access control to your data. Through this example, you’ll set up fine-grained access controls for multiple users and see how this works using Amazon Redshift. We’ll also review an example with simultaneously using data that resides both in Amazon Redshift and Amazon S3 Tables, enabling a unified analytics experience.]]></description>
		
		
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		<item>
		<title>Integrate Amazon Bedrock with Amazon Redshift ML for generative AI applications</title>
		<link>https://noise.getoto.net/2024/11/01/integrate-amazon-bedrock-with-amazon-redshift-ml-for-generative-ai-applications/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Thu, 31 Oct 2024 22:07:21 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[generative AI]]></category>
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					<description><![CDATA[Amazon Redshift has enhanced its Redshift ML feature to support integration of large language models (LLMs). As part of these enhancements, Redshift now enables native integration with Amazon Bedrock. This integration enables you to use LLMs from simple SQL commands alongside your data in Amazon Redshift, helping you to build generative AI applications quickly. This powerful combination enables customers to harness the transformative capabilities of LLMs and seamlessly incorporate them into their analytical workflows.]]></description>
		
		
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		<item>
		<title>How to implement access control and auditing on Amazon Redshift using Immuta</title>
		<link>https://noise.getoto.net/2024/10/24/how-to-implement-access-control-and-auditing-on-amazon-redshift-using-immuta/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Thu, 24 Oct 2024 15:42:51 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Security & Governance]]></category>
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					<description><![CDATA[This post is co-written with Matt Vogt from Immuta.  Organizations are looking for products that let them spend less time managing data and more time on core business functions. Data security is one of the key functions in managing a data warehouse. With Immuta integration with Amazon Redshift, user and data security operations are managed […]]]></description>
		
		
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		<item>
		<title>Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization</title>
		<link>https://noise.getoto.net/2024/08/21/optimize-your-workloads-with-amazon-redshift-serverless-ai-driven-scaling-and-optimization/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Wed, 21 Aug 2024 16:22:13 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Cloud Cost Optimization]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. However, you might need to automatically scale compute resources based on factors like query complexity and data volume to meet price-performance targets, irrespective of query queuing. […]]]></description>
		
		
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		<title>Combine transactional, streaming, and third-party data on Amazon Redshift for financial services</title>
		<link>https://noise.getoto.net/2024/02/01/combine-transactional-streaming-and-third-party-data-on-amazon-redshift-for-financial-services/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Thu, 01 Feb 2024 18:07:23 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. The following are some of the key business use cases that highlight this need: Trade reporting – Since […]]]></description>
		
		
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		<item>
		<title>Configure monitoring, limits, and alarms in Amazon Redshift Serverless to keep costs predictable</title>
		<link>https://noise.getoto.net/2023/07/25/configure-monitoring-limits-and-alarms-in-amazon-redshift-serverless-to-keep-costs-predictable/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Tue, 25 Jul 2023 16:39:16 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Monitoring and observability]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Amazon Redshift Serverless makes it simple to run and scale analytics in seconds. It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business […]]]></description>
		
		
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			</item>
		<item>
		<title>How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier</title>
		<link>https://noise.getoto.net/2023/03/07/how-gaming-companies-can-use-amazon-redshift-serverless-to-build-scalable-analytical-applications-faster-and-easier/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Tue, 07 Mar 2023 18:39:05 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[games]]></category>
		<category><![CDATA[gaming]]></category>
		<category><![CDATA[Gaming Industry]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. This post […]]]></description>
		
		
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		<item>
		<title>Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS</title>
		<link>https://noise.getoto.net/2023/02/28/simplify-online-analytical-processing-olap-queries-in-amazon-redshift-using-new-sql-constructs-such-as-rollup-cube-and-grouping-sets/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Tue, 28 Feb 2023 17:20:44 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=91e2dbca85e97eef33f9edd26a25bf0d</guid>

					<description><![CDATA[Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. We are continuously investing to make analytics easy with Redshift by simplifying SQL constructs and adding new operators. Now we are adding […]]]></description>
		
		
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