<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Amazon DataZone &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/amazon-datazone/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Mon, 03 Nov 2025 21:02:06 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Scaling data governance with Amazon DataZone: Covestro success story</title>
		<link>https://noise.getoto.net/2025/11/03/scaling-data-governance-with-amazon-datazone-covestro-success-story/</link>
		
		<dc:creator><![CDATA[Jörg Janssen]]></dc:creator>
		<pubDate>Mon, 03 Nov 2025 21:02:06 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1f2181b18e9d7d33980dfdcf7921e2b2</guid>

					<description><![CDATA[In this post, we show you how Covestro transformed its data architecture by implementing Amazon DataZone and AWS Serverless Data Lake Framework, transitioning from a centralized data lake to a data mesh architecture. The implementation enabled streamlined data access, better data quality, and stronger governance at scale, achieving a 70% reduction in time-to-market for over 1,000 data pipelines.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Automate email notifications for governance teams working with Amazon SageMaker Catalog</title>
		<link>https://noise.getoto.net/2025/10/21/automate-email-notifications-for-governance-teams-working-with-amazon-sagemaker-catalog/</link>
		
		<dc:creator><![CDATA[Himanshu Sahni]]></dc:creator>
		<pubDate>Tue, 21 Oct 2025 20:59:53 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon SageMaker Data & AI Governance]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6f69e6435589c4a12f65c6c24201ab0b</guid>

					<description><![CDATA[In this post, we show you how to create custom notifications for events occurring in SageMaker Catalog using Amazon EventBridge, AWS Lambda, and Amazon SNS. You can expand this solution to automatically integrate SageMaker Catalog with in-house enterprise workflow tools like ServiceNow and Helix.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Breaking down data silos: Volkswagen’s approach with Amazon DataZone</title>
		<link>https://noise.getoto.net/2025/10/07/breaking-down-data-silos-volkswagens-approach-with-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Bandana Das]]></dc:creator>
		<pubDate>Tue, 07 Oct 2025 17:28:21 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Automotive]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[data governance]]></category>
		<category><![CDATA[data-mesh]]></category>
		<category><![CDATA[Manufacturing]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=dde37b6f6a75f5b55d0bd1de5a743211</guid>

					<description><![CDATA[In this post, we introduce Amazon DataZone and explore how Volkswagen used Amazon DataZone to build their data mesh, tackle the challenges encountered, and break the data silos.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Use the Amazon DataZone upgrade domain to Amazon SageMaker and expand to new SQL analytics, data processing, and AI uses cases</title>
		<link>https://noise.getoto.net/2025/09/11/use-the-amazon-datazone-upgrade-domain-to-amazon-sagemaker-and-expand-to-new-sql-analytics-data-processing-and-ai-uses-cases/</link>
		
		<dc:creator><![CDATA[David Victoria]]></dc:creator>
		<pubDate>Thu, 11 Sep 2025 20:37:38 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=900a4050813cfa07d4dc84154023781b</guid>

					<description><![CDATA[Amazon DataZone and Amazon SageMaker announced a new feature that allows an Amazon DataZone domain to be upgraded to the next generation of SageMaker, making the investment customers put into developing Amazon DataZone transferable to SageMaker. All content created and curated through Amazon DataZone such as assets, metadata forms, glossaries, subscriptions, and so on are […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Automate data lineage in Amazon SageMaker using AWS Glue Crawlers supported data sources</title>
		<link>https://noise.getoto.net/2025/07/30/automate-data-lineage-in-amazon-sagemaker-using-aws-glue-crawlers-supported-data-sources/</link>
		
		<dc:creator><![CDATA[Mohit Dawar]]></dc:creator>
		<pubDate>Wed, 30 Jul 2025 16:33:20 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Data & AI Governance]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue Crawlers]]></category>
		<category><![CDATA[Data Lineage]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d9247d9b3d882026ef53623cccb4358c</guid>

					<description><![CDATA[In this post, we explore its real-world impact through the lens of an ecommerce company striving to boost their bottom line. To illustrate this practical application, we walk you through how you can use the prebuilt integration between SageMaker Catalog and AWS Glue crawlers to automatically capture lineage for data assets stored in Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Realizing ocean data democratization: Furuno Electric’s initiatives using Amazon DataZone</title>
		<link>https://noise.getoto.net/2025/07/11/realizing-ocean-data-democratization-furuno-electrics-initiatives-using-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Akira Mikami]]></dc:creator>
		<pubDate>Thu, 10 Jul 2025 21:56:55 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=56ee8ef76b7354d023c470c79cfcea6d</guid>

					<description><![CDATA[In this post, we explore how Furuno Electric built a comprehensive data management foundation using Amazon DataZone and other AWS services to transform from a traditional manufacturing company to a data-driven business.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Capture data lineage from dbt, Apache Airflow, and Apache Spark with Amazon SageMaker</title>
		<link>https://noise.getoto.net/2025/06/24/capture-data-lineage-from-dbt-apache-airflow-and-apache-spark-with-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Jose Romero]]></dc:creator>
		<pubDate>Tue, 24 Jun 2025 20:15:56 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4045c0bbf63ecb755925d98c178b4891</guid>

					<description><![CDATA[This post walks you through how to use the OpenLineage-compatible API of SageMaker or Amazon DataZone to push data lineage events programmatically from tools supporting the OpenLineage standard like dbt, Apache Airflow, and Apache Spark.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available</title>
		<link>https://noise.getoto.net/2025/03/14/collaborate-and-build-faster-with-amazon-sagemaker-unified-studio-now-generally-available/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Thu, 13 Mar 2025 23:05:34 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=78f576d06f84490c641a307dd9c5b27b</guid>

					<description><![CDATA[Amazon SageMaker Unified Studio is a single data and AI development platform that brings data together with analytics and AI/ML tools, including Amazon Bedrock and Amazon Q Developer, to streamline analytics and AI application development across virtually any use case.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Cross-account data collaboration with Amazon DataZone and AWS analytical tools</title>
		<link>https://noise.getoto.net/2025/03/05/cross-account-data-collaboration-with-amazon-datazone-and-aws-analytical-tools/</link>
		
		<dc:creator><![CDATA[Arun Pradeep Selvaraj]]></dc:creator>
		<pubDate>Wed, 05 Mar 2025 17:29:17 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=fa3d88c4a65e14b80dbfa95f21ac0706</guid>

					<description><![CDATA[In this post, we will cover how you can use Amazon DataZone to facilitate data collaboration between AWS accounts.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Governing streaming data in Amazon DataZone with the Data Solutions Framework on AWS</title>
		<link>https://noise.getoto.net/2025/02/27/governing-streaming-data-in-amazon-datazone-with-the-data-solutions-framework-on-aws/</link>
		
		<dc:creator><![CDATA[Vincent Gromakowski]]></dc:creator>
		<pubDate>Thu, 27 Feb 2025 17:16:51 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2f1de91fbdb0914daaa3dbfc552ce601</guid>

					<description><![CDATA[In this post, we explore how AWS customers can extend Amazon DataZone to support streaming data such as Amazon Managed Streaming for Apache Kafka (Amazon MSK) topics. Developers and DevOps managers can use Amazon MSK, a popular streaming data service, to run Kafka applications and Kafka Connect connectors on AWS without becoming experts in operating it.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How EUROGATE established a data mesh architecture using Amazon DataZone</title>
		<link>https://noise.getoto.net/2025/01/15/how-eurogate-established-a-data-mesh-architecture-using-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Dr. Leonard Heilig]]></dc:creator>
		<pubDate>Wed, 15 Jan 2025 17:37:44 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[data governance]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=224e12ea4da3b073789dc61fc034ba89</guid>

					<description><![CDATA[In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone, to make data discoverable by data consumers across different business units so that they can innovate faster. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>HEMA accelerates their data governance journey with Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/12/19/hema-accelerates-their-data-governance-journey-with-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Luis Campos]]></dc:creator>
		<pubDate>Thu, 19 Dec 2024 15:12:16 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b351239b77c7983b599a22bfbbfa5f38</guid>

					<description><![CDATA[HEMA is a household Dutch retail brand name since 1926, providing daily convenience products using unique design. This post describes how HEMA used Amazon DataZone to build their data mesh and enable streamlined data access across multiple business areas. It explains HEMA’s unique journey of deploying Amazon DataZone, the key challenges they overcame, and the transformative benefits they have realized since deployment in May 2024. From establishing an enterprise-wide data inventory and improving data discoverability, to enabling decentralized data sharing and governance, Amazon DataZone has been a game changer for HEMA.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/12/19/implement-a-custom-subscription-workflow-for-unmanaged-amazon-s3-assets-published-with-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Somdeb Bhattacharjee]]></dc:creator>
		<pubDate>Thu, 19 Dec 2024 15:01:52 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=887450801d6635550c6dedfc75ef8614</guid>

					<description><![CDATA[In this post, we demonstrate how to implement a custom subscription workflow using Amazon DataZone, Amazon EventBridge, and AWS Lambda to automate the fulfillment process for unmanaged data assets, such as unstructured data stored in Amazon S3. This solution enhances governance and simplifies access to unstructured data assets across the organization.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt</title>
		<link>https://noise.getoto.net/2024/12/12/building-end-to-end-data-lineage-for-one-time-and-complex-queries-using-amazon-athena-amazon-redshift-amazon-neptune-and-dbt/</link>
		
		<dc:creator><![CDATA[Nancy Wu]]></dc:creator>
		<pubDate>Thu, 12 Dec 2024 17:17:33 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Neptune]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=31bb9de5175a42447654408fbe5a1009</guid>

					<description><![CDATA[In this post, we use dbt for data modeling on both Amazon Athena and Amazon Redshift. dbt on Athena supports real-time queries, while dbt on Amazon Redshift handles complex queries, unifying the development language and significantly reducing the technical learning curve. Using a single dbt modeling language not only simplifies the development process but also automatically generates consistent data lineage information. This approach offers robust adaptability, easily accommodating changes in data structures.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes</title>
		<link>https://noise.getoto.net/2024/12/04/how-anz-institutional-division-built-a-federated-data-platform-to-enable-their-domain-teams-to-build-data-products-to-support-business-outcomes/</link>
		
		<dc:creator><![CDATA[Leo Ramsamy]]></dc:creator>
		<pubDate>Wed, 04 Dec 2024 18:32:11 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1a77fb7087aae46f8d8a069d7f8722f3</guid>

					<description><![CDATA[ANZ Institutional Division has transformed its data management approach by implementing a federated data platform based on data mesh principles. This shift aims to unlock untapped data potential, improve operational efficiency, and increase agility. The new strategy empowers domain teams to create and manage their own data products, treating data as a valuable asset rather than a byproduct. This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance</title>
		<link>https://noise.getoto.net/2024/12/03/discover-govern-and-collaborate-on-data-and-ai-securely-with-amazon-sagemaker-data-and-ai-governance/</link>
		
		<dc:creator><![CDATA[Esra Kayabali]]></dc:creator>
		<pubDate>Tue, 03 Dec 2024 18:49:59 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b4d5531b3fdb62b6d0938f41e1b33195</guid>

					<description><![CDATA[Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation - boost productivity and innovation for data teams.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/12/03/announcing-the-general-availability-of-data-lineage-in-the-next-generation-of-amazon-sagemaker-and-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Esra Kayabali]]></dc:creator>
		<pubDate>Tue, 03 Dec 2024 18:45:49 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=5c808e86d34b61b1d4618b77a4a60ab3</guid>

					<description><![CDATA[Realize visual traceability of data origins, transformations, and usage - bolstering trust, governance, and discoverability for strategic data-driven decisions.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI</title>
		<link>https://noise.getoto.net/2024/12/03/introducing-the-next-generation-of-amazon-sagemaker-the-center-for-all-your-data-analytics-and-ai/</link>
		
		<dc:creator><![CDATA[Antje Barth]]></dc:creator>
		<pubDate>Tue, 03 Dec 2024 18:45:43 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b7cb57c696e01a650d7f196e979a175e</guid>

					<description><![CDATA[Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Enhance data governance with enforced metadata rules in Amazon DataZone</title>
		<link>https://noise.getoto.net/2024/11/20/enhance-data-governance-with-enforced-metadata-rules-in-amazon-datazone/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Wed, 20 Nov 2024 18:55:29 +0000</pubDate>
				<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=58c313925801988bf0d761644f560851</guid>

					<description><![CDATA[We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. Using this update, domain owners can define metadata requirements and enforce them on data consumers when they request subscriptions to data assets. By making it mandatory for data consumers to provide specific metadata, domain owners can achieve compliance, meet organizational standards, and support audit and reporting needs.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<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>
		<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>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=34780446ba0da3981e6667c1ad2eac13</guid>

					<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>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 60/408 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2025-12-08 06:08:12 by W3 Total Cache
-->