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	<title>Amazon Sagemaker &#8211; Noise</title>
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		<title>Accelerate AI development using Amazon SageMaker AI with serverless MLflow</title>
		<link>https://noise.getoto.net/2025/12/02/accelerate-ai-development-using-amazon-sagemaker-ai-with-serverless-mlflow/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:02:56 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
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					<description><![CDATA[Simplify AI experimentation with zero-infrastructure MLflow that launches in minutes, scales automatically, and seamlessly integrates with SageMaker's model customization and pipeline capabilities.]]></description>
		
		
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		<item>
		<title>Amazon FSx for NetApp ONTAP now integrates with Amazon S3 for seamless data access</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-fsx-for-netapp-ontap-now-integrates-with-amazon-s3-for-seamless-data-access/</link>
		
		<dc:creator><![CDATA[Veliswa Boya]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:59:54 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Bedrock Knowledge Bases]]></category>
		<category><![CDATA[Amazon FSx for NetApp ONTAP]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[storage]]></category>
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					<description><![CDATA[Access FSx for NetApp ONTAP file data through S3 to enable AI/ML workloads and analytics—letting you use enterprise file data with Bedrock, SageMaker, and analytics services while it remains in your file system.]]></description>
		
		
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		<item>
		<title>Introducing catalog federation for Apache Iceberg tables in the AWS Glue Data Catalog</title>
		<link>https://noise.getoto.net/2025/11/27/introducing-catalog-federation-for-apache-iceberg-tables-in-the-aws-glue-data-catalog/</link>
		
		<dc:creator><![CDATA[Debika D]]></dc:creator>
		<pubDate>Wed, 26 Nov 2025 22:08:07 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[AWS Glue now supports catalog federation for remote Iceberg tables in the Data Catalog. With catalog federation, you can query remote Iceberg tables, stored in Amazon S3 and cataloged in remote Iceberg catalogs, using AWS analytics engines and without moving or duplicating tables. In this post, we discuss how to get started with catalog federation for Iceberg tables in the Data Catalog.]]></description>
		
		
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			</item>
		<item>
		<title>Accelerate data lake operations with Apache Iceberg V3 deletion vectors and row lineage</title>
		<link>https://noise.getoto.net/2025/11/27/accelerate-data-lake-operations-with-apache-iceberg-v3-deletion-vectors-and-row-lineage/</link>
		
		<dc:creator><![CDATA[Ron Ortloff]]></dc:creator>
		<pubDate>Wed, 26 Nov 2025 22:05:47 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we walk you through the new capabilities in Iceberg V3, explain how deletion vectors and row lineage address these challenges, explore real-world use cases across industries, and provide practical guidance on implementing Iceberg V3 features across AWS analytics, catalog, and storage services.]]></description>
		
		
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		<item>
		<title>AWS Weekly Roundup: How to join AWS re:Invent 2025, plus Kiro GA, and lots of launches (Nov 24, 2025)</title>
		<link>https://noise.getoto.net/2025/11/24/aws-weekly-roundup-how-to-join-aws-reinvent-2025-plus-kiro-ga-and-lots-of-launches-nov-24-2025/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Mon, 24 Nov 2025 19:58:08 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon Connect]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Container Registry]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS Control Tower]]></category>
		<category><![CDATA[AWS Identity and Access Management (IAM)]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Billing & Account Management]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Week in Review]]></category>
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					<description><![CDATA[Next week, don’t miss AWS re:Invent, Dec. 1-5, 2025, for the latest AWS news, expert insights, and global cloud community connections! Our News Blog team is finalizing posts to introduce the most exciting launches from our service teams. If you’re joining us in person in Las Vegas, review the agenda, session catalog, and attendee guides […]]]></description>
		
		
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		<item>
		<title>Cross-account lakehouse governance with Amazon S3 Tables and SageMaker Catalog</title>
		<link>https://noise.getoto.net/2025/11/19/cross-account-lakehouse-governance-with-amazon-s3-tables-and-sagemaker-catalog/</link>
		
		<dc:creator><![CDATA[Sneha Rao]]></dc:creator>
		<pubDate>Tue, 18 Nov 2025 23:01:03 +0000</pubDate>
				<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Data & AI Governance]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we walk you through a practical solution for secure, efficient cross-account data sharing and analysis. You’ll learn how to set up cross-account access to S3 Tables using federated catalogs in Amazon SageMaker, perform unified queries across accounts with Amazon Athena in Amazon SageMaker Unified Studio, and implement fine-grained access controls at the column level using AWS Lake Formation.]]></description>
		
		
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		<item>
		<title>The Amazon SageMaker Lakehouse Architecture now supports Tag-Based Access Control for federated catalogs</title>
		<link>https://noise.getoto.net/2025/08/29/the-amazon-sagemaker-lakehouse-architecture-now-supports-tag-based-access-control-for-federated-catalogs/</link>
		
		<dc:creator><![CDATA[Sandeep Adwankar]]></dc:creator>
		<pubDate>Fri, 29 Aug 2025 18:31:04 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e2f83e9b935dccee1f4c8f9ac3c4cc11</guid>

					<description><![CDATA[We are now announcing support for Lake Formation tag-based access control (LF-TBAC) to federated catalogs of S3 Tables, Redshift data warehouses, and federated data sources such as Amazon DynamoDB, MySQL, PostgreSQL, SQL Server, Oracle, Amazon DocumentDB, Google BigQuery, and Snowflake. In this post, we illustrate how to manage S3 Tables and Redshift tables in the lakehouse using a single fine-grained access control mechanism of LF-TBAC. We also show how to access these lakehouse tables using your choice of analytics services, such as Athena, Redshift, and Apache Spark in Amazon EMR Serverless.]]></description>
		
		
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		<item>
		<title>Amazon SageMaker Catalog expands discoverability and governance for Amazon S3 general purpose buckets</title>
		<link>https://noise.getoto.net/2025/08/21/amazon-sagemaker-catalog-expands-discoverability-and-governance-for-amazon-s3-general-purpose-buckets/</link>
		
		<dc:creator><![CDATA[Priya Tiruthani]]></dc:creator>
		<pubDate>Thu, 21 Aug 2025 20:15:49 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1112d71572ba75862b14a2bd0e8ca167</guid>

					<description><![CDATA[In July 2025, Amazon SageMaker announced support for Amazon Simple Storage Service (Amazon S3) general purpose buckets and prefixes in Amazon SageMaker Catalog that delivers fine-grained access control and permissions through S3 Access Grants. In this post, we explore how this integration addresses key challenges our customers have shared with us, and how data producers, such as administrators and data engineers, can seamlessly share and govern S3 buckets and prefixes using S3 Access Grants, while making it readily discoverable for data consumers.]]></description>
		
		
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		<item>
		<title>Guide to adopting Amazon SageMaker Unified Studio from ATPCO’s Journey</title>
		<link>https://noise.getoto.net/2025/08/18/guide-to-adopting-amazon-sagemaker-unified-studio-from-atpcos-journey/</link>
		
		<dc:creator><![CDATA[Mitesh Patel]]></dc:creator>
		<pubDate>Mon, 18 Aug 2025 19:03:39 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[data governance]]></category>
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					<description><![CDATA[ATPCO is the backbone of modern airline retailing, helping airlines and third-party channels deliver the right offers to customers at the right time. ATPCO addressed data governance challenges using Amazon DataZone. SageMaker Unified Studio, built on the same architecture as Amazon DataZone, offers additional capabilities, so users can complete various tasks such as building data pipelines using AWS Glue and Amazon EMR, or conducting analyses using Amazon Athena and Amazon Redshift query editor across diverse datasets, all within a single, unified environment. In this post, we walk you through the challenges ATPCO addresses for their business using SageMaker Unified Studio.]]></description>
		
		
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		<item>
		<title>OpenAI open weight models now available on AWS</title>
		<link>https://noise.getoto.net/2025/08/06/openai-open-weight-models-now-available-on-aws/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Wed, 06 Aug 2025 05:56:44 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker JumpStart]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ddd4dfd10d93844def31e15d28f00eea</guid>

					<description><![CDATA[AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives you more freedom to innovate and choose the right model for your specific use cases while maintaining complete control over your infrastructure and data.]]></description>
		
		
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		<item>
		<title>Integrate scientific data management and analytics with the next generation of Amazon SageMaker, Part 1</title>
		<link>https://noise.getoto.net/2025/08/05/integrate-scientific-data-management-and-analytics-with-the-next-generation-of-amazon-sagemaker-part-1/</link>
		
		<dc:creator><![CDATA[Nadeem Bulsara]]></dc:creator>
		<pubDate>Tue, 05 Aug 2025 16:19:12 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4c8fc1e8411b54b90f749ba49e138565</guid>

					<description><![CDATA[In this blog post, AWS introduces a solution to a common challenge in scientific research - the inefficient management of fragmented scientific data. The post demonstrates how the next generation of Amazon SageMaker, through its Unified Studio and Catalog features, helps scientists streamline their workflow by integrating data management and analytics capabilities.]]></description>
		
		
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		<item>
		<title>Develop and deploy a generative AI application using Amazon SageMaker Unified Studio</title>
		<link>https://noise.getoto.net/2025/08/04/develop-and-deploy-a-generative-ai-application-using-amazon-sagemaker-unified-studio/</link>
		
		<dc:creator><![CDATA[Amit Maindola]]></dc:creator>
		<pubDate>Mon, 04 Aug 2025 17:17:02 +0000</pubDate>
				<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[Financial Services]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we demonstrate how to use Amazon Bedrock Flows in SageMaker Unified Studio to build a sophisticated generative AI application for financial analysis and investment decision-making.]]></description>
		
		
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		<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>
		
		
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		<title>Accelerate your data quality journey for lakehouse architecture with Amazon SageMaker, Apache Iceberg on AWS, Amazon S3 tables, and AWS Glue Data Quality</title>
		<link>https://noise.getoto.net/2025/07/28/accelerate-your-data-quality-journey-for-lakehouse-architecture-with-amazon-sagemaker-apache-iceberg-on-aws-amazon-s3-tables-and-aws-glue-data-quality/</link>
		
		<dc:creator><![CDATA[Brody Pearman]]></dc:creator>
		<pubDate>Mon, 28 Jul 2025 18:09:37 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue Data Quality]]></category>
		<category><![CDATA[data governance]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a8202149a8b2da33920869c2277d1a5a</guid>

					<description><![CDATA[This post explores how you can use AWS Glue Data Quality to maintain data quality of S3 Tables and Apache Iceberg tables on general purpose S3 buckets. We'll discuss strategies for verifying the quality of published data and how these integrated technologies can be used to implement effective data quality workflows.]]></description>
		
		
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		<item>
		<title>Announcing Amazon Nova customization in Amazon SageMaker AI</title>
		<link>https://noise.getoto.net/2025/07/16/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/</link>
		
		<dc:creator><![CDATA[Betty Zheng (郑予彬)]]></dc:creator>
		<pubDate>Wed, 16 Jul 2025 15:11:39 +0000</pubDate>
				<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=83fe02573155d803df9bdc57291f77ca</guid>

					<description><![CDATA[AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across industries.]]></description>
		
		
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		<title>Streamline the path from data to insights with new Amazon SageMaker Catalog capabilities</title>
		<link>https://noise.getoto.net/2025/07/16/streamline-the-path-from-data-to-insights-with-new-amazon-sagemaker-catalog-capabilities/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Tue, 15 Jul 2025 23:49:24 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=20c7e39bfdd3ccc464288b46be0c5869</guid>

					<description><![CDATA[Amazon SageMaker has introduced three new capabilities—Amazon QuickSight integration for dashboard creation, governance, and sharing, Amazon S3 Unstructured Data Integration for cataloging documents and media files, and automatic data onboarding from Lakehouse—that eliminate data silos by unifying structured and unstructured data management, visualization, and governance in a single experience.]]></description>
		
		
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		<title>Enhance governance with asset type usage policies in Amazon SageMaker</title>
		<link>https://noise.getoto.net/2025/05/12/enhance-governance-with-asset-type-usage-policies-in-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Pradeep Misra]]></dc:creator>
		<pubDate>Mon, 12 May 2025 20:21:20 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[In this post, we introduce authorization policies for custom asset types—a new governance capability in Amazon SageMaker that gives organizations fine-grained control over who can create and manage assets using specific templates. This feature enhances data governance by allowing teams to enforce usage policies that align with business and security requirements across the organization.]]></description>
		
		
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		<title>Implementing safety guardrails for applications using Amazon SageMaker</title>
		<link>https://noise.getoto.net/2025/05/12/implementing-safety-guardrails-for-applications-using-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Laura Verghote]]></dc:creator>
		<pubDate>Mon, 12 May 2025 16:53:58 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[SageMaker]]></category>
		<category><![CDATA[Security Blog]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=58be057bbf9172e5297d15b923936364</guid>

					<description><![CDATA[Large Language Models (LLMs) have become essential tools for content generation, document analysis, and natural language processing tasks. Because of the complex non-deterministic output generated by these models, you need to apply robust safety measures to help prevent inappropriate outputs and protect user interactions. These measures are crucial to address concerns such as the risk […]]]></description>
		
		
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		<item>
		<title>AWS Weekly Review: Amazon S3 Express One Zone price cuts, Pixtral Large on Amazon Bedrock, Amazon Nova Sonic, and more (April 14, 2025)</title>
		<link>https://noise.getoto.net/2025/04/14/aws-weekly-review-amazon-s3-express-one-zone-price-cuts-pixtral-large-on-amazon-bedrock-amazon-nova-sonic-and-more-april-14-2025/</link>
		
		<dc:creator><![CDATA[Elizabeth Fuentes]]></dc:creator>
		<pubDate>Mon, 14 Apr 2025 18:32:20 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Bedrock Agents]]></category>
		<category><![CDATA[Amazon Bedrock Guardrails]]></category>
		<category><![CDATA[Amazon Bedrock Prompt Management]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon Personalize]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[storage]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a6500e0cd8aeddd248385dc866b48e0c</guid>

					<description><![CDATA[The Amazon Web Services (AWS) Summit 2025 season launched this week, starting with the Paris Summit. These free events bring together the global cloud computing community for learning and collaboration. AWS Community Day Romania, held on April 11th, showcased how the local community creates opportunities for collective growth and inclusion. Last week’s launches Announcing up […]]]></description>
		
		
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			</item>
		<item>
		<title>Streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio</title>
		<link>https://noise.getoto.net/2025/04/10/streamline-data-discovery-with-precise-technical-identifier-search-in-amazon-sagemaker-unified-studio/</link>
		
		<dc:creator><![CDATA[Ramesh H Singh]]></dc:creator>
		<pubDate>Wed, 09 Apr 2025 22:14:47 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8404c67fd8425fdca378c358bb2afcf9</guid>

					<description><![CDATA[We’re excited to introduce a new enhancement to the search experience in Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker—exact match search using technical identifiers. In this post, we demonstrate how to streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio.]]></description>
		
		
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