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	<title>Amazon S3 Tables &#8211; Noise</title>
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		<title>Announcing replication support and Intelligent-Tiering for Amazon S3 Tables</title>
		<link>https://noise.getoto.net/2025/12/02/announcing-replication-support-and-intelligent-tiering-for-amazon-s3-tables/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:19:14 +0000</pubDate>
				<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[launch]]></category>
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					<description><![CDATA[New features enable automatic cost optimization through intelligent storage tiering and simplified table replication across AWS Regions and accounts.]]></description>
		
		
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		<title>Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-s3-storage-lens-adds-performance-metrics-support-for-billions-of-prefixes-and-export-to-s3-tables/</link>
		
		<dc:creator><![CDATA[Veliswa Boya]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:15:12 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[storage]]></category>
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					<description><![CDATA[New capabilities help optimize application performance, analyze unlimited prefixes, and simplify metrics analysis through S3 Tables integration.]]></description>
		
		
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		<title>Getting started with Apache Iceberg write support in Amazon Redshift</title>
		<link>https://noise.getoto.net/2025/11/26/getting-started-with-apache-iceberg-write-support-in-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Sanket Hase]]></dc:creator>
		<pubDate>Wed, 26 Nov 2025 19:34:55 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show how you can use Amazon Redshift to write data directly to Apache Iceberg tables stored in Amazon S3 and S3 Tables for seamless integration between your data warehouse and data lake while maintaining ACID compliance.]]></description>
		
		
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		<item>
		<title>Getting started with Amazon S3 Tables in Amazon SageMaker Unified Studio</title>
		<link>https://noise.getoto.net/2025/11/20/getting-started-with-amazon-s3-tables-in-amazon-sagemaker-unified-studio/</link>
		
		<dc:creator><![CDATA[David Pasha]]></dc:creator>
		<pubDate>Wed, 19 Nov 2025 23:26:57 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
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					<description><![CDATA[In this post, you learn how to integrate SageMaker Unified Studio with S3 Tables and query your data using Amazon Athena, Amazon Redshift, or Apache Spark in EMR and AWS Glue.]]></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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		<title>How to export to Amazon S3 Tables by using AWS Step Functions Distributed Map</title>
		<link>https://noise.getoto.net/2025/10/01/how-to-export-to-amazon-s3-tables-by-using-aws-step-functions-distributed-map/</link>
		
		<dc:creator><![CDATA[Chetan Makvana]]></dc:creator>
		<pubDate>Wed, 01 Oct 2025 16:44:18 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show how to use Step Functions Distributed Map to process Amazon S3 objects and export results to Amazon S3 Tables, creating a scalable and maintainable data processing pipeline.]]></description>
		
		
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		<item>
		<title>Transform your data to Amazon S3 Tables with Amazon Athena</title>
		<link>https://noise.getoto.net/2025/08/15/transform-your-data-to-amazon-s3-tables-with-amazon-athena/</link>
		
		<dc:creator><![CDATA[Pathik Shah]]></dc:creator>
		<pubDate>Fri, 15 Aug 2025 20:25:21 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[This post demonstrates how Amazon Athena CREATE TABLE AS SELECT (CTAS) simplifies the data transformation process through a practical example: migrating an existing Parquet dataset into Amazon S3 Tables.]]></description>
		
		
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		<item>
		<title>Optimize industrial IoT analytics with Amazon Data Firehose and Amazon S3 Tables with Apache Iceberg</title>
		<link>https://noise.getoto.net/2025/07/25/optimize-industrial-iot-analytics-with-amazon-data-firehose-and-amazon-s3-tables-with-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Ashok Padmanabhan]]></dc:creator>
		<pubDate>Fri, 25 Jul 2025 16:20:07 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS IoT Greengrass]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show how to use AWS service integrations to minimize custom code while providing a robust platform for industrial data ingestion, processing, and analytics. By using Amazon S3 Tables and its built-in optimizations, you can maximize query performance and minimize costs without additional infrastructure setup.]]></description>
		
		
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		<item>
		<title>Amazon S3 Metadata now supports metadata for all your S3 objects</title>
		<link>https://noise.getoto.net/2025/07/16/amazon-s3-metadata-now-supports-metadata-for-all-your-s3-objects/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Tue, 15 Jul 2025 23:33:22 +0000</pubDate>
				<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
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		<category><![CDATA[launch]]></category>
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					<description><![CDATA[Amazon S3 Metadata now provides comprehensive visibility into all objects in S3 buckets through live inventory and journal tables, enabling SQL-based analysis of both existing and new objects with automatic updates within an hour of changes.]]></description>
		
		
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		<item>
		<title>New: Improve Apache Iceberg query performance in Amazon S3 with sort and z-order compaction</title>
		<link>https://noise.getoto.net/2025/06/24/new-improve-apache-iceberg-query-performance-in-amazon-s3-with-sort-and-z-order-compaction/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Tue, 24 Jun 2025 20:27:59 +0000</pubDate>
				<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
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					<description><![CDATA[Amazon S3 now enables improved Apache Iceberg query performance through two new compaction strategies—sort and z-order—available for both S3 Tables and general purpose S3 buckets, helping organize data more efficiently by clustering similar values together and reducing file scanning during queries.]]></description>
		
		
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		<item>
		<title>Stream data from Amazon MSK to Apache Iceberg tables in Amazon S3 and Amazon S3 Tables using Amazon Data Firehose</title>
		<link>https://noise.getoto.net/2025/06/21/stream-data-from-amazon-msk-to-apache-iceberg-tables-in-amazon-s3-and-amazon-s3-tables-using-amazon-data-firehose/</link>
		
		<dc:creator><![CDATA[Pratik Patel]]></dc:creator>
		<pubDate>Fri, 20 Jun 2025 21:20:56 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[In this post, we walk through two solutions that demonstrate how to stream data from your Amazon MSK provisioned cluster to Iceberg-based data lakes in Amazon S3 using Amazon Data Firehose.]]></description>
		
		
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		<item>
		<title>Scalable analytics and centralized governance for Apache Iceberg tables using Amazon S3 Tables and Amazon Redshift</title>
		<link>https://noise.getoto.net/2025/05/22/scalable-analytics-and-centralized-governance-for-apache-iceberg-tables-using-amazon-s3-tables-and-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Satesh Sonti]]></dc:creator>
		<pubDate>Thu, 22 May 2025 16:22:48 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon S3]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[In this post, we’ll build on the first post in this series to show you how to set up an Apache Iceberg data lake catalog using Amazon S3 Tables and provide different levels of access control to your data. Through this example, you’ll set up fine-grained access controls for multiple users and see how this works using Amazon Redshift. We’ll also review an example with simultaneously using data that resides both in Amazon Redshift and Amazon S3 Tables, enabling a unified analytics experience.]]></description>
		
		
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