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	<title>Dhrubajyoti Mukherjee &#8211; Noise</title>
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		<title>Embracing event driven architecture to enhance resilience of data solutions built on Amazon SageMaker</title>
		<link>https://noise.getoto.net/2025/06/05/embracing-event-driven-architecture-to-enhance-resilience-of-data-solutions-built-on-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Dhrubajyoti Mukherjee]]></dc:creator>
		<pubDate>Thu, 05 Jun 2025 16:43:50 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker Data & AI Governance]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
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					<description><![CDATA[This post provides guidance on how you can use event driven architecture to enhance the resiliency of data solutions built on the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. SageMaker is a managed service with high availability and durability.]]></description>
		
		
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		<title>How Volkswagen Autoeuropa built a data solution with a robust governance framework, simplifying access to quality data using Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/11/13/how-volkswagen-autoeuropa-built-a-data-solution-with-a-robust-governance-framework-simplifying-access-to-quality-data-using-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Dhrubajyoti Mukherjee]]></dc:creator>
		<pubDate>Wed, 13 Nov 2024 15:46:47 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Automotive]]></category>
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		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Enterprise governance and control]]></category>
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					<description><![CDATA[This second post of a two-part series that details how Volkswagen Autoeuropa, a Volkswagen Group plant, together with AWS, built a data solution with a robust governance framework using Amazon DataZone to become a data-driven factory. Part 1 of this series focused on the customer challenges, overall solution architecture and solution features, and how they helped Volkswagen Autoeuropa overcome their challenges. This post dives into the technical details, highlighting the robust data governance framework that enables ease of access to quality data using Amazon DataZone.]]></description>
		
		
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		<title>How Volkswagen Autoeuropa built a data mesh to accelerate digital transformation using Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/10/31/how-volkswagen-autoeuropa-built-a-data-mesh-to-accelerate-digital-transformation-using-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Dhrubajyoti Mukherjee]]></dc:creator>
		<pubDate>Thu, 31 Oct 2024 16:00:01 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. The data mesh, built on Amazon DataZone, simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. As a result, the data solution offers benefits such as faster access to data, expeditious decision making, accelerated time to value for use cases, and enhanced data governance.]]></description>
		
		
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