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	<title>Prasad Nadig &#8211; Noise</title>
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		<title>Configure domain-level VPC networking in Amazon SageMaker Unified Studio</title>
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		<dc:creator><![CDATA[Prasad Nadig]]></dc:creator>
		<pubDate>Wed, 23 Sep 2026 18:36:56 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
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					<description><![CDATA[Configuring VPC networking per project across a SageMaker Unified Studio domain creates inconsistent, hard-to-audit networks. This post shows administrators how to configure domain-level VPC networking once, so every new project automatically inherits consistent, private network isolation, then update existing projects and validate connectivity.]]></description>
		
		
		
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		<title>How to migrate from Amazon CloudSearch to Amazon OpenSearch Serverless</title>
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		<dc:creator><![CDATA[Prasad Nadig]]></dc:creator>
		<pubDate>Thu, 10 Sep 2026 16:06:42 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
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					<description><![CDATA[Learn how to migrate an Amazon CloudSearch domain to Amazon OpenSearch Serverless: assess your configuration, create a collection with explicit index mappings, convert your documents and queries to the OpenSearch query DSL, configure security, load data with Amazon OpenSearch Ingestion, and validate before cutover.]]></description>
		
		
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		<title>Upgrade AWS Glue jobs to Glue 6.0 with AI-powered Spark upgrades</title>
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		<dc:creator><![CDATA[Prasad Nadig]]></dc:creator>
		<pubDate>Mon, 24 Aug 2026 19:06:16 +0000</pubDate>
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					<description><![CDATA[Walk through upgrading a PySpark ETL job from AWS Glue 5.1 to AWS Glue 6.0 using the generative AI upgrades for Apache Spark. The upgrade analysis automatically detects incompatibilities, applies fixes, and validates results with data quality checks.]]></description>
		
		
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		<title>Upgrade PySpark from Spark 3.5 to Spark 4.0 with AWS Spark Upgrade Agent</title>
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		<dc:creator><![CDATA[Prasad Nadig]]></dc:creator>
		<pubDate>Tue, 09 Jun 2026 16:17:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
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					<description><![CDATA[In this post, we walk through a hands-on PySpark migration from Spark 3.5 to Spark 4.0 on Amazon EMR Serverless, using the AWS Spark Upgrade Agent. You’ll see how the agent iteratively validates your application on a live Amazon EMR Serverless application, automatically diagnosing and resolving failures from Amazon CloudWatch logs until the job succeeds.]]></description>
		
		
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		<title>Get started with AWS Glue Data Quality dynamic rules for ETL pipelines</title>
		<link>https://noise.getoto.net/2024/05/23/get-started-with-aws-glue-data-quality-dynamic-rules-for-etl-pipelines/</link>
		
		<dc:creator><![CDATA[Prasad Nadig]]></dc:creator>
		<pubDate>Thu, 23 May 2024 16:03:01 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
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					<description><![CDATA[In this post, we show how to create an AWS Glue job that measures and monitors the data quality of a data pipeline using dynamic rules. We also show how to take action based on the data quality results.]]></description>
		
		
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