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	<title>Praveen Kumar &#8211; Noise</title>
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		<title>Using Amazon SageMaker Unified Studio Identity center (IDC) and IAM-based domains together</title>
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		<dc:creator><![CDATA[Praveen Kumar]]></dc:creator>
		<pubDate>Mon, 09 Feb 2026 22:27:10 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[AWS Identity and Access Management (IAM)]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we demonstrate how to access an Amazon SageMaker Unified Studio IDC-based domain with a new IAM-based domain using role reuse and attribute-based access control.]]></description>
		
		
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		<title>Author visual ETL flows on Amazon SageMaker Unified Studio (preview)</title>
		<link>https://noise.getoto.net/2024/12/04/author-visual-etl-flows-on-amazon-sagemaker-unified-studio-preview/</link>
		
		<dc:creator><![CDATA[Praveen Kumar]]></dc:creator>
		<pubDate>Wed, 04 Dec 2024 18:48:07 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[Amazon SageMaker Unified Studio (preview) provides an integrated data and AI development environment within Amazon SageMaker. This post shows how you can build a low-code and no-code (LCNC) visual ETL flow that enables seamless data ingestion and transformation across multiple data sources.]]></description>
		
		
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		<title>Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation</title>
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		<dc:creator><![CDATA[Praveen Kumar]]></dc:creator>
		<pubDate>Fri, 21 Jul 2023 17:46:27 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. Many organizations have a distributed tools and infrastructure across various business units. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture […]]]></description>
		
		
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		<title>Persist and analyze metadata in a transient Amazon MWAA environment</title>
		<link>https://noise.getoto.net/2022/03/31/persist-and-analyze-metadata-in-a-transient-amazon-mwaa-environment/</link>
		
		<dc:creator><![CDATA[Praveen Kumar]]></dc:creator>
		<pubDate>Thu, 31 Mar 2022 18:32:47 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Application Integration]]></category>
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					<description><![CDATA[Customers can harness sophisticated orchestration capabilities through the open-source tool Apache Airflow. Airflow can be installed on Amazon EC2 instances or can be dockerized and deployed as a container on AWS container services. Alternatively, customers can also opt to leverage Amazon Managed Workflows for Apache Airflow (MWAA). Amazon MWAA is a fully managed service that […]]]></description>
		
		
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