<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Raghu Kuppala &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/author/raghu-kuppala/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Thu, 26 Jun 2025 17:39:30 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Enhance data ingestion performance in Amazon Redshift with concurrent inserts</title>
		<link>https://noise.getoto.net/2025/06/26/enhance-data-ingestion-performance-in-amazon-redshift-with-concurrent-inserts/</link>
		
		<dc:creator><![CDATA[Raghu Kuppala]]></dc:creator>
		<pubDate>Thu, 26 Jun 2025 17:39:30 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=66f31dc4327674550aa2f7fee8938f09</guid>

					<description><![CDATA[Amazon Redshift employs columnar storage for database tables, reducing overall disk I/O requirements. This storage method significantly improves analytic query performance by minimizing data read during queries. This post showcases the key improvements in Amazon Redshift concurrent data ingestion operations.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Write queries faster with Amazon Q generative SQL for Amazon Redshift</title>
		<link>https://noise.getoto.net/2024/11/07/write-queries-faster-with-amazon-q-generative-sql-for-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Raghu Kuppala]]></dc:creator>
		<pubDate>Thu, 07 Nov 2024 18:17:25 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9b2b1d77c60668261665b766bf3cb487</guid>

					<description><![CDATA[In this post, we show you how to enable the Amazon Q generative SQL feature in the Redshift query editor and use the feature to get tailored SQL commands based on your natural language queries. With Amazon Q, you can spend less time worrying about the nuances of SQL syntax and optimizations, allowing you to concentrate your efforts on extracting invaluable business insights from your data.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Use custom domain names with Amazon Redshift</title>
		<link>https://noise.getoto.net/2023/11/18/use-custom-domain-names-with-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Raghu Kuppala]]></dc:creator>
		<pubDate>Sat, 18 Nov 2023 00:11:50 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0337be3953ce037eb838694c25c51d16</guid>

					<description><![CDATA[Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. Amazon Redshift now supports custom URLs or custom domain names for your data warehouse. You might want to use a custom domain name […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 29/71 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2026-03-13 12:35:17 by W3 Total Cache
-->