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	<title>Asser Moustafa &#8211; Noise</title>
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		<title>How Getir unleashed data democratization using a data mesh architecture with Amazon Redshift</title>
		<link>https://noise.getoto.net/2024/10/23/how-getir-unleashed-data-democratization-using-a-data-mesh-architecture-with-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Wed, 23 Oct 2024 15:52:23 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Redshift data sharing]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[In this post, we explain how ultrafast delivery pioneer, Getir, unleashed the power of data democratization on a large scale through their data mesh architecture using Amazon Redshift. We start by introducing Getir and their vision—to seamlessly, securely, and efficiently share business data across different teams within the organization for BI, extract, transform, and load (ETL), and other use cases. We’ll then explore how Amazon Redshift data sharing powered the data mesh architecture that allowed Getir to achieve this transformative vision.]]></description>
		
		
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		<title>Power enterprise-grade Data Vaults with Amazon Redshift – Part 1</title>
		<link>https://noise.getoto.net/2023/11/16/power-enterprise-grade-data-vaults-with-amazon-redshift-part-1/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Thu, 16 Nov 2023 21:11:16 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x better price-performance than other cloud data warehouses. As with all AWS […]]]></description>
		
		
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		<title>Power enterprise-grade Data Vaults with Amazon Redshift – Part 2</title>
		<link>https://noise.getoto.net/2023/11/16/power-enterprise-grade-data-vaults-with-amazon-redshift-part-2/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Thu, 16 Nov 2023 21:11:11 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x better price-performance than any other cloud data warehouses. As with all […]]]></description>
		
		
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		<title>Power highly resilient use cases with Amazon Redshift</title>
		<link>https://noise.getoto.net/2021/12/27/power-highly-resilient-use-cases-with-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Mon, 27 Dec 2021 17:13:53 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
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					<description><![CDATA[Amazon Redshift is the most popular and fastest cloud data warehouse, offering seamless integration with your data lake and other data sources, up to three times faster performance than any other cloud data warehouse, automated maintenance, separation of storage and compute, and up to 75% lower cost than any other cloud data warehouse. This post […]]]></description>
		
		
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		<title>How Comcast uses AWS to rapidly store and analyze large-scale telemetry data</title>
		<link>https://noise.getoto.net/2021/08/06/how-comcast-uses-aws-to-rapidly-store-and-analyze-large-scale-telemetry-data/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Thu, 05 Aug 2021 21:19:19 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Services (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This blog post is co-written by Russell Harlin from Comcast Corporation. Comcast Corporation creates incredible technology and entertainment that connects millions of people to the moments and experiences that matter most. At the core of this is Comcast’s high-speed data network, providing tens of millions of customers across the country with reliable internet connectivity. This […]]]></description>
		
		
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		<title>Building high-quality benchmark tests for Amazon Redshift using Apache JMeter</title>
		<link>https://noise.getoto.net/2020/12/22/building-high-quality-benchmark-tests-for-amazon-redshift-using-apache-jmeter/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Mon, 21 Dec 2020 22:41:55 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[In the introductory post of this series, we discussed benchmarking benefits and best practices common across different open-source benchmarking tools. As a reminder of why benchmarking is important, Amazon Redshift allows you to scale storage and compute independently, and for you to choose an appropriately balanced compute layer, you need to profile the compute requirements [&#8230;]]]></description>
		
		
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		<title>Building high-quality benchmark tests for Amazon Redshift using SQLWorkbench and psql</title>
		<link>https://noise.getoto.net/2020/12/15/building-high-quality-benchmark-tests-for-amazon-redshift-using-sqlworkbench-and-psql/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Mon, 14 Dec 2020 23:06:52 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[In the introductory post of this series, we discussed benchmarking benefits and best practices common across different open-source benchmarking tools. In this post, we discuss benchmarking Amazon Redshift with the SQLWorkbench and psql open-source tools. Let&#8217;s first start with a quick review of the introductory installment. When you use Amazon Redshift to scale compute and [&#8230;]]]></description>
		
		
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		<title>Building high-quality benchmark tests for Redshift using open-source tools: Best practices</title>
		<link>https://noise.getoto.net/2020/10/06/building-high-quality-benchmark-tests-for-redshift-using-open-source-tools-best-practices/</link>
		
		<dc:creator><![CDATA[Asser Moustafa]]></dc:creator>
		<pubDate>Tue, 06 Oct 2020 16:34:51 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
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					<description><![CDATA[Amazon Redshift is the most popular and fastest cloud data warehouse, offering seamless integration with your data lake, up to three times faster performance than any other cloud data warehouse, and up to 75% lower cost than any other cloud data warehouse. When you use Amazon Redshift to scale compute and storage independently, a need [&#8230;]]]></description>
		
		
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