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	<title>BP Yau &#8211; Noise</title>
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		<title>Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud</title>
		<link>https://noise.getoto.net/2024/11/27/unlocking-near-real-time-analytics-with-petabytes-of-transaction-data-using-amazon-aurora-zero-etl-integration-with-amazon-redshift-and-dbt-cloud/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Wed, 27 Nov 2024 20:20:41 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we explore how to use Aurora MySQL-Compatible Edition Zero-ETL integration with Amazon Redshift and dbt Cloud to enable near real-time analytics. By using dbt Cloud for data transformation, data teams can focus on writing business rules to drive insights from their transaction data to respond effectively to critical, time sensitive events.]]></description>
		
		
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		<title>How to get best price performance from your Amazon Redshift Data Sharing deployment</title>
		<link>https://noise.getoto.net/2022/12/20/how-to-get-best-price-performance-from-your-amazon-redshift-data-sharing-deployment/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Tue, 20 Dec 2022 16:20:51 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Redshift data sharing]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Sharing]]></category>
		<category><![CDATA[Performance]]></category>
		<category><![CDATA[testing]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, scalable, secure, and fully-managed data warehouse that enables you to analyze all of your data using standard SQL easily and cost-effectively. Amazon Redshift Data Sharing allows customers to securely share live, transactionally consistent data in one Amazon Redshift cluster with another Amazon Redshift cluster across accounts and regions without needing to […]]]></description>
		
		
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		<title>Amazon Redshift data sharing best practices and considerations</title>
		<link>https://noise.getoto.net/2022/08/17/amazon-redshift-data-sharing-best-practices-and-considerations/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Wed, 17 Aug 2022 17:52:20 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift data sharing allows for a secure and easy way to share live data for reading across Amazon Redshift clusters. It allows an […]]]></description>
		
		
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		<title>Accelerate Snowflake to Amazon Redshift migration using AWS Schema Conversion Tool</title>
		<link>https://noise.getoto.net/2022/04/12/accelerate-snowflake-to-amazon-redshift-migration-using-aws-schema-conversion-tool/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Tue, 12 Apr 2022 15:39:06 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
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					<description><![CDATA[Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Today, tens of thousands of AWS customers—from Fortune […]]]></description>
		
		
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		<title>Accelerating Amazon Redshift federated query to Amazon Aurora MySQL with AWS CloudFormation</title>
		<link>https://noise.getoto.net/2020/12/17/accelerating-amazon-redshift-federated-query-to-amazon-aurora-mysql-with-aws-cloudformation/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Thu, 17 Dec 2020 19:56:36 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
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					<description><![CDATA[Amazon Redshift federated query allows you to combine data from one or more Amazon Relational Database Service (Amazon RDS) for MySQL and Amazon Aurora MySQL databases with data already in Amazon Redshift. You can also combine such data with data in an Amazon Simple Storage Service (Amazon S3) data lake. This post shows you how [&#8230;]]]></description>
		
		
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		<title>Announcing Amazon Redshift federated querying to Amazon Aurora MySQL and Amazon RDS for MySQL</title>
		<link>https://noise.getoto.net/2020/12/15/announcing-amazon-redshift-federated-querying-to-amazon-aurora-mysql-and-amazon-rds-for-mysql/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Mon, 14 Dec 2020 23:28:17 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[Since we launched Amazon Redshift as a cloud data warehouse service more than seven years ago, tens of thousands of customers have built analytics workloads using it. We&#8217;re always listening to your feedback and, in April 2020, we announced general availability for federated querying to Amazon Aurora PostgreSQL and Amazon Relational Database Service (Amazon RDS) [&#8230;]]]></description>
		
		
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		<title>Introducing Amazon Redshift RA3.xlplus nodes with managed storage</title>
		<link>https://noise.getoto.net/2020/12/09/introducing-amazon-redshift-ra3-xlplus-nodes-with-managed-storage/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Wed, 09 Dec 2020 16:47:10 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[Since we launched Amazon Redshift as a cloud data warehouse service more than seven years ago, tens of thousands of customers have built analytics workloads using it. We&#8217;re always listening to your feedback and, in December 2019, we announced our third-generation RA3 node type to provide you the ability to scale and pay for compute [&#8230;]]]></description>
		
		
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		<title>Federated API access to Amazon Redshift using an Amazon Redshift connector for Python</title>
		<link>https://noise.getoto.net/2020/11/06/federated-api-access-to-amazon-redshift-using-an-amazon-redshift-connector-for-python/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Fri, 06 Nov 2020 16:59:37 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
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					<description><![CDATA[Amazon Redshift is the leading cloud data warehouse that delivers performance 10 times faster at one-tenth of the cost of traditional data warehouses by using massively parallel query execution, columnar storage on high-performance disks, and results caching. You can confidently run mission-critical workloads, even in highly regulated industries, because Amazon Redshift comes with out-of-the-box security [&#8230;]]]></description>
		
		
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