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	<title>Ramakant Joshi &#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>Accelerate data integration with Salesforce and AWS using AWS Glue</title>
		<link>https://noise.getoto.net/2024/09/04/accelerate-data-integration-with-salesforce-and-aws-using-aws-glue/</link>
		
		<dc:creator><![CDATA[Ramakant Joshi]]></dc:creator>
		<pubDate>Wed, 04 Sep 2024 16:14:56 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[To meet the demands of diverse data integration use cases, AWS Glue now supports SaaS connectivity for Salesforce. This enables users to quickly preview and transfer their customer relationship management (CRM) data, fetch the schema dynamically on request, and query the data. This post explores the new Salesforce connector for AWS Glue and demonstrates how to build a modern extract, transform, and load (ETL) pipeline with AWS Glue ETL scripts.]]></description>
		
		
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		<title>Cross-account integration between SaaS platforms using Amazon AppFlow</title>
		<link>https://noise.getoto.net/2023/04/25/cross-account-integration-between-saas-platforms-using-amazon-appflow/</link>
		
		<dc:creator><![CDATA[Ramakant Joshi]]></dc:creator>
		<pubDate>Tue, 25 Apr 2023 19:53:22 +0000</pubDate>
				<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Implementing an effective data sharing strategy that satisfies compliance and regulatory requirements is complex. Customers often need to share data between disparate software as a service (SaaS) platforms within their organization or across organizations. On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it […]]]></description>
		
		
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		<title>Detecting solar panel damage with Amazon Rekognition Custom Labels</title>
		<link>https://noise.getoto.net/2023/02/20/detecting-solar-panel-damage-with-amazon-rekognition-custom-labels/</link>
		
		<dc:creator><![CDATA[Ramakant Joshi]]></dc:creator>
		<pubDate>Mon, 20 Feb 2023 15:19:44 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Rekognition]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Enterprises perform quality control to ensure products meet production standards and avoid potential brand reputation damage. As the cost of sensors decreases and connectivity increases, industries adopt real-time imagery analysis to detect quality issues. At the same time, artificial intelligence (AI) advancements enable advanced automation, reduce overall cost and project time, and produce accurate defect […]]]></description>
		
		
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		<title>Modernization pathways for a legacy .NET Framework monolithic application on AWS</title>
		<link>https://noise.getoto.net/2022/05/19/modernization-pathways-for-a-legacy-net-framework-monolithic-application-on-aws/</link>
		
		<dc:creator><![CDATA[Ramakant Joshi]]></dc:creator>
		<pubDate>Thu, 19 May 2022 16:41:02 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS App2Container]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
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					<description><![CDATA[Organizations aim to deliver optimal technological solutions based on their customers’ needs. Although they may be at any stage in their cloud adoption journey, businesses often end up managing and building monolithic applications. However, there are many challenges to this solution. The internal structure of a monolithic application makes it difficult for developers to maintain code. […]]]></description>
		
		
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