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		<title>A scalable, elastic database and search solution for 1B+ vectors built on LanceDB and Amazon S3</title>
		<link>https://noise.getoto.net/2025/09/22/a-scalable-elastic-database-and-search-solution-for-1b-vectors-built-on-lancedb-and-amazon-s3/</link>
		
		<dc:creator><![CDATA[Audra Devoto]]></dc:creator>
		<pubDate>Mon, 22 Sep 2025 17:15:44 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Innovation and Reinvention]]></category>
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					<description><![CDATA[In this post, we explore how Metagenomi built a scalable database and search solution for over 1 billion protein vectors using LanceDB and Amazon S3. The solution enables rapid enzyme discovery by transforming proteins into vector embeddings and implementing a serverless architecture that combines AWS Lambda, AWS Step Functions, and Amazon S3 for efficient nearest neighbor searches.]]></description>
		
		
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		<title>Run high-availability long-running clusters with Amazon EMR instance fleets</title>
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		<dc:creator><![CDATA[Garima Arora]]></dc:creator>
		<pubDate>Thu, 21 Nov 2024 17:11:36 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[Innovation and Reinvention]]></category>
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					<description><![CDATA[In this post, we demonstrate how to launch a high availability instance fleet cluster using the newly redesigned Amazon EMR console, as well as using an AWS CloudFormation template. We also go over the basic concepts of Hadoop high availability, EMR instance fleets, the benefits and trade-offs of high availability, and best practices for running resilient EMR clusters.]]></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>
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		<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>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Enterprise governance and control]]></category>
		<category><![CDATA[Innovation and Reinvention]]></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>
		<category><![CDATA[Enterprise governance and control]]></category>
		<category><![CDATA[Innovation and Reinvention]]></category>
		<category><![CDATA[Intermediate (200)]]></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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