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	<title>Sriharsh Adari &#8211; Noise</title>
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		<title>Optimize cost and performance for Amazon MWAA</title>
		<link>https://noise.getoto.net/2024/08/21/optimize-cost-and-performance-for-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Sriharsh Adari]]></dc:creator>
		<pubDate>Wed, 21 Aug 2024 16:33:59 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that allows you to orchestrate data pipelines and workflows at scale. With Amazon MWAA, you can design Directed Acyclic Graphs (DAGs) that describe your workflows without managing the operational burden of scaling the infrastructure. In this post, we provide guidance […]]]></description>
		
		
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		<title>Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature</title>
		<link>https://noise.getoto.net/2023/12/18/build-efficient-etl-pipelines-with-aws-step-functions-distributed-map-and-redrive-feature/</link>
		
		<dc:creator><![CDATA[Sriharsh Adari]]></dc:creator>
		<pubDate>Mon, 18 Dec 2023 16:33:56 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue, Amazon EMR, and Amazon Redshift. You can visually build the workflow by wiring individual data pipeline tasks and configuring payloads, retries, […]]]></description>
		
		
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		<title>Simplify semi-structured nested JSON data analysis with AWS Glue DataBrew and Amazon QuickSight</title>
		<link>https://noise.getoto.net/2022/10/20/simplify-semi-structured-nested-json-data-analysis-with-aws-glue-databrew-and-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Sriharsh Adari]]></dc:creator>
		<pubDate>Thu, 20 Oct 2022 20:23:01 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Glue DataBrew]]></category>
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					<description><![CDATA[As the industry grows with more data volume, big data analytics is becoming a common requirement in data analytics and machine learning (ML) use cases. Data comes from many different sources in structured, semi-structured, and unstructured formats. For semi-structured data, one of the most common lightweight file formats is JSON. However, due to the complex […]]]></description>
		
		
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		<title>Enable Amazon QuickSight federation with Google Workspace</title>
		<link>https://noise.getoto.net/2022/05/23/enable-amazon-quicksight-federation-with-google-workspace/</link>
		
		<dc:creator><![CDATA[Sriharsh Adari]]></dc:creator>
		<pubDate>Mon, 23 May 2022 16:39:31 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML)-powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Organizations are working towards centralizing their identity and access strategy across all of their applications, including on-premises, third-party, and applications on AWS. Many organizations use Google Workspace […]]]></description>
		
		
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