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	<title>Krishna Gogineni &#8211; Noise</title>
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		<title>Migrate a petabyte-scale data warehouse from Actian Vectorwise to Amazon Redshift</title>
		<link>https://noise.getoto.net/2024/05/30/migrate-a-petabyte-scale-data-warehouse-from-actian-vectorwise-to-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Krishna Gogineni]]></dc:creator>
		<pubDate>Thu, 30 May 2024 18:22:20 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands […]]]></description>
		
		
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		<title>Temporal data lake architecture for benchmark and indices analytics</title>
		<link>https://noise.getoto.net/2023/07/21/temporal-data-lake-architecture-for-benchmark-and-indices-analytics/</link>
		
		<dc:creator><![CDATA[Krishna Gogineni]]></dc:creator>
		<pubDate>Fri, 21 Jul 2023 13:07:38 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Financial trading houses and stock exchanges generate enormous volumes of data in near real-time, making it difficult to perform bi-temporal calculations that yield accurate results. Achieving this requires a processing architecture that can handle large volumes of data during peak bursts, meet strict latency requirements, and scale according to incoming volumes. In this post, we’ll […]]]></description>
		
		
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