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		<title>Tailor Amazon SageMaker Unified Studio project environments to your needs using custom blueprints</title>
		<link>https://noise.getoto.net/2025/09/18/tailor-amazon-sagemaker-unified-studio-project-environments-to-your-needs-using-custom-blueprints/</link>
		
		<dc:creator><![CDATA[Aditya Challa]]></dc:creator>
		<pubDate>Wed, 17 Sep 2025 22:49:58 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[Amazon SageMaker Unified Studio is a single data and AI development environment that brings together data preparation, analytics, machine learning (ML), and generative AI development in one place. By unifying these workflows, it saves teams from managing multiple tools and makes it straightforward for data scientists, analysts, and developers to build, train, and deploy ML […]]]></description>
		
		
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		<title>Evolve JSON Schemas in Amazon MSK and Amazon Kinesis Data Streams with the AWS Glue Schema Registry</title>
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		<dc:creator><![CDATA[Aditya Challa]]></dc:creator>
		<pubDate>Mon, 24 Jan 2022 19:12:12 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[AWS Glue]]></category>
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					<description><![CDATA[Data is being produced, streamed, and consumed at an immense rate, and that rate is projected to grow exponentially in the future. In particular, JSON is the most widely used data format across streaming technologies and workloads. As applications, websites, and machines increasingly adopt data streaming technologies such as Apache Kafka and Amazon Kinesis Data […]]]></description>
		
		
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