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	<title>AWS Data Exchange &#8211; Noise</title>
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		<title>Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job</title>
		<link>https://noise.getoto.net/2024/10/22/demystify-data-sharing-and-collaboration-patterns-on-aws-choosing-the-right-tool-for-the-job/</link>
		
		<dc:creator><![CDATA[Ramakant Joshi]]></dc:creator>
		<pubDate>Mon, 21 Oct 2024 21:25:16 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Clean Rooms]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Adoption of data lakes and the data mesh framework emerges as a powerful approach. By decentralizing data ownership and distribution, enterprises can break down silos and enable seamless data sharing. In this post, we discuss how to choose the right tool for building an enterprise data platform and enabling data sharing, collaboration and access within your organization and with third-party providers. We address three business use cases using AWS Glue, AWS Data Exchange, AWS Clean Rooms, and Amazon DataZone through three different use cases.]]></description>
		
		
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		<title>Use AWS Data Exchange to seamlessly share Apache Hudi datasets</title>
		<link>https://noise.getoto.net/2024/05/22/use-aws-data-exchange-to-seamlessly-share-apache-hudi-datasets/</link>
		
		<dc:creator><![CDATA[Saurabh Bhutyani]]></dc:creator>
		<pubDate>Wed, 22 May 2024 19:49:49 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Apache Hudi was originally developed by Uber in 2016 to bring to life a transactional data lake that could quickly and reliably absorb updates to support the massive growth of the company’s ride-sharing platform. Apache Hudi is now widely used to build very large-scale data lakes by many across the industry. Today, Hudi is the […]]]></description>
		
		
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		<title>Power analytics as a service capabilities using Amazon Redshift</title>
		<link>https://noise.getoto.net/2024/04/17/power-analytics-as-a-service-capabilities-using-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Sandipan Bhaumik]]></dc:creator>
		<pubDate>Wed, 17 Apr 2024 14:56:54 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make […]]]></description>
		
		
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		<title>Enrich your customer data with geospatial insights using Amazon Redshift, AWS Data Exchange, and Amazon QuickSight</title>
		<link>https://noise.getoto.net/2024/03/18/enrich-your-customer-data-with-geospatial-insights-using-amazon-redshift-aws-data-exchange-and-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Tony Stricker]]></dc:creator>
		<pubDate>Mon, 18 Mar 2024 16:07:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Location]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[It always pays to know more about your customers, and AWS Data Exchange makes it straightforward to use publicly available census data to enrich your customer dataset. The United States Census Bureau conducts the US census every 10 years and gathers household survey data. This data is anonymized, aggregated, and made available for public use. […]]]></description>
		
		
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		<title>AWS Week in Review – March 20, 2023</title>
		<link>https://noise.getoto.net/2023/03/21/aws-week-in-review-march-20-2023/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 21 Mar 2023 15:38:20 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon EC2 Mac instances]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon GuardDuty]]></category>
		<category><![CDATA[Amazon Kendra]]></category>
		<category><![CDATA[Amazon Neptune]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[AWS Backup]]></category>
		<category><![CDATA[AWS Chatbot]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[Management Tools]]></category>
		<category><![CDATA[Migration & Transfer Services]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[storage]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[Week in Review]]></category>
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					<description><![CDATA[This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and Spring is almost here! If you’re curious about AWS news from the previous seven days, I got you covered. Last Week’s Launches Here are the […]]]></description>
		
		
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		<title>Patterns for enterprise data sharing at scale</title>
		<link>https://noise.getoto.net/2023/02/27/patterns-for-enterprise-data-sharing-at-scale/</link>
		
		<dc:creator><![CDATA[Venkata Sistla]]></dc:creator>
		<pubDate>Mon, 27 Feb 2023 20:52:09 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Federal]]></category>
		<category><![CDATA[Financial Services]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. Some organizations would like to have a data sharing platform where they can establish a collaborative and strategic approach to exchange data […]]]></description>
		
		
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			</item>
		<item>
		<title>Run a popular benchmark on Amazon Redshift Serverless easily with AWS Data Exchange</title>
		<link>https://noise.getoto.net/2023/01/09/run-a-popular-benchmark-on-amazon-redshift-serverless-easily-with-aws-data-exchange/</link>
		
		<dc:creator><![CDATA[Jon Roberts]]></dc:creator>
		<pubDate>Mon, 09 Jan 2023 19:07:49 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[Expert (400)]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, easy, secure, and economical cloud data warehousing service designed for analytics. AWS announced Amazon Redshift Serverless general availability in July 2022, providing an easier experience to operate Amazon Redshift. Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Amazon Redshift […]]]></description>
		
		
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		<item>
		<title>Share and publish your Snowflake data to AWS Data Exchange using Amazon Redshift data sharing</title>
		<link>https://noise.getoto.net/2022/11/17/share-and-publish-your-snowflake-data-to-aws-data-exchange-using-amazon-redshift-data-sharing/</link>
		
		<dc:creator><![CDATA[Raks Khare]]></dc:creator>
		<pubDate>Thu, 17 Nov 2022 16:43:32 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></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. Today, tens of thousands of AWS customers—from Fortune 500 companies, startups, and everything in between—use Amazon Redshift to run mission-critical business intelligence (BI) dashboards, […]]]></description>
		
		
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		<item>
		<title>Deploying Local Gateway Ingress Routing on AWS Outposts</title>
		<link>https://noise.getoto.net/2022/09/15/deploying-local-gateway-ingress-routing-on-aws-outposts/</link>
		
		<dc:creator><![CDATA[Sheila Busser]]></dc:creator>
		<pubDate>Thu, 15 Sep 2022 20:43:24 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon VPC]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[AWS Outposts]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This post is written by Leonardo Solano, Senior Hybrid Cloud Solution Architect and Chris Lunsford, Senior Specialist Solutions Architect, AWS Outposts. AWS Outposts lets customers use the same Amazon Virtual Private Cloud (VPC) security mechanisms, such as security groups and network access control lists, to control traffic flows for on-premises applications running on Outposts. Some […]]]></description>
		
		
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		<title>Accelerate machine learning with AWS Data Exchange and Amazon Redshift ML</title>
		<link>https://noise.getoto.net/2022/07/08/accelerate-machine-learning-with-aws-data-exchange-and-amazon-redshift-ml/</link>
		
		<dc:creator><![CDATA[Yadgiri Pottabhathini]]></dc:creator>
		<pubDate>Fri, 08 Jul 2022 15:46:46 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using familiar SQL commands. Redshift ML allows you to use your data in Amazon Redshift with Amazon SageMaker, a fully managed ML service, without requiring you to become an expert in ML. AWS Data Exchange makes it easy to […]]]></description>
		
		
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		<title>Announcing AWS Data Exchange for APIs: Find, Subscribe to, and Use Third-party APIs with Consistent Authentication</title>
		<link>https://noise.getoto.net/2021/11/30/announcing-aws-data-exchange-for-apis-find-subscribe-to-and-use-third-party-apis-with-consistent-authentication/</link>
		
		<dc:creator><![CDATA[Alex Casalboni]]></dc:creator>
		<pubDate>Mon, 29 Nov 2021 23:53:08 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
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					<description><![CDATA[Data is at the center of many processes and products, whether it’s a large-scale dataset used to train machine learning models, a relational database, or an API-based integration. AWS Data Exchange lets you discover, subscribe to, and use hundreds of file-based datasets via Amazon Simple Storage Service (Amazon S3) offered by third parties such as […]]]></description>
		
		
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		<title>New – AWS Data Exchange for Amazon Redshift</title>
		<link>https://noise.getoto.net/2021/10/20/new-aws-data-exchange-for-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Jeff Barr]]></dc:creator>
		<pubDate>Tue, 19 Oct 2021 21:51:02 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
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					<description><![CDATA[Back in 2019 I told you about AWS Data Exchange and showed you how to Find, Subscribe To, and Use Data Products. Today, you can choose from over 3600 data products in ten categories: In my introductory post I showed you how could subscribe to data products and then download the data sets into an […]]]></description>
		
		
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