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	<title>Ravi Itha &#8211; Noise</title>
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	<description>The collective thoughts of the interwebz</description>
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		<title>Simplify operational data processing in data lakes using AWS Glue and Apache Hudi</title>
		<link>https://noise.getoto.net/2023/09/13/simplify-operational-data-processing-in-data-lakes-using-aws-glue-and-apache-hudi/</link>
		
		<dc:creator><![CDATA[Ravi Itha]]></dc:creator>
		<pubDate>Wed, 13 Sep 2023 14:56:41 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Apache Hudi]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started). In AWS ProServe-led customer engagements, the use cases we work on usually come with technical complexity and scalability requirements. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.]]></description>
		
		
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		<title>Deploy data lake ETL jobs using CDK Pipelines</title>
		<link>https://noise.getoto.net/2021/07/30/deploy-data-lake-etl-jobs-using-cdk-pipelines/</link>
		
		<dc:creator><![CDATA[Ravi Itha]]></dc:creator>
		<pubDate>Fri, 30 Jul 2021 05:35:48 +0000</pubDate>
				<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS CDK]]></category>
		<category><![CDATA[AWS Cloud Development Kit]]></category>
		<category><![CDATA[AWS CodeBuild]]></category>
		<category><![CDATA[AWS CodeDeploy]]></category>
		<category><![CDATA[AWS CodePipeline]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[CI/CD]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a804acd036d895b2ec22e1a914325e29</guid>

					<description><![CDATA[Many organizations are building data lakes on AWS, which provides the most secure, scalable, comprehensive, and cost-effective portfolio of services. Like any application development project, a data lake must answer a fundamental question: “What is the DevOps strategy?” Defining a DevOps strategy for a data lake requires extensive planning and multiple teams. This typically requires […]]]></description>
		
		
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