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	<title>Chiho Sugimoto &#8211; Noise</title>
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		<title>Introducing AWS Glue 5.1 for Apache Spark</title>
		<link>https://noise.getoto.net/2025/12/09/introducing-aws-glue-5-1-for-apache-spark/</link>
		
		<dc:creator><![CDATA[Chiho Sugimoto]]></dc:creator>
		<pubDate>Tue, 09 Dec 2025 21:29:15 +0000</pubDate>
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					<description><![CDATA[AWS recently announced Glue 5.1, a new version of AWS Glue that accelerates data integration workloads in AWS. AWS Glue 5.1 upgrades the Spark engines to Apache Spark 3.5.6, giving you newer Spark release along with the newer dependent libraries so you can develop, run, and scale your data integration workloads and get insights faster. In this post, we describe what’s new in AWS Glue 5.1, key highlights on Spark and related libraries, and how to get started on AWS Glue 5.1.]]></description>
		
		
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		<title>Introducing Jobs in Amazon SageMaker</title>
		<link>https://noise.getoto.net/2025/07/15/introducing-jobs-in-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Chiho Sugimoto]]></dc:creator>
		<pubDate>Tue, 15 Jul 2025 19:10:51 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[This post demonstrates how the new jobs experience works in SageMaker Unified Studio.]]></description>
		
		
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		<title>Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity</title>
		<link>https://noise.getoto.net/2024/12/16/introducing-a-new-unified-data-connection-experience-with-amazon-sagemaker-lakehouse-unified-data-connectivity/</link>
		
		<dc:creator><![CDATA[Chiho Sugimoto]]></dc:creator>
		<pubDate>Mon, 16 Dec 2024 15:08:31 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[With Amazon SageMaker Lakehouse unified data connectivity, you can confidently connect, explore, and unlock the full value of your data across AWS services and achieve your business objectives with agility. This post demonstrates how SageMaker Lakehouse unified data connectivity helps your data integration workload by streamlining the establishment and management of connections for various data sources.]]></description>
		
		
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		<title>Author data integration jobs with an interactive data preparation experience with AWS Glue visual ETL</title>
		<link>https://noise.getoto.net/2024/07/10/author-data-integration-jobs-with-an-interactive-data-preparation-experience-with-aws-glue-visual-etl/</link>
		
		<dc:creator><![CDATA[Chiho Sugimoto]]></dc:creator>
		<pubDate>Wed, 10 Jul 2024 16:52:36 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[We are excited to announce a new capability of the AWS Glue Studio visual editor that offers a new visual user experience. Now you can author data preparation transformations and edit them with the AWS Glue Studio visual editor. The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, […]]]></description>
		
		
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