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	<title>Fei Lang &#8211; Noise</title>
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		<title>Orchestrating analytics jobs on Amazon EMR Notebooks using Amazon MWAA</title>
		<link>https://noise.getoto.net/2021/01/27/orchestrating-analytics-jobs-on-amazon-emr-notebooks-using-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Fei Lang]]></dc:creator>
		<pubDate>Wed, 27 Jan 2021 21:21:38 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
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					<description><![CDATA[In a previous post, we introduced the Amazon EMR notebook APIs, which allow you to programmatically run a notebook on both Amazon EMR Notebooks and Amazon EMR Studio (preview) without accessing the AWS web console. With the APIs, you can schedule running EMR notebooks with cron scripts, chain multiple EMR notebooks, and use orchestration services […]]]></description>
		
		
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		<title>Amazon EMR Studio (Preview): A new notebook-first IDE experience with Amazon EMR</title>
		<link>https://noise.getoto.net/2020/12/09/amazon-emr-studio-preview-a-new-notebook-first-ide-experience-with-amazon-emr/</link>
		
		<dc:creator><![CDATA[Fei Lang]]></dc:creator>
		<pubDate>Wed, 09 Dec 2020 16:41:57 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[We&#8217;re happy to announce Amazon EMR Studio (Preview), an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug applications written in R, Python, Scala, and PySpark. EMR Studio provides fully managed Jupyter notebooks and tools like Spark UI and YARN Timeline Service to simplify debugging. [&#8230;]]]></description>
		
		
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		<title>Orchestrating analytics jobs by running Amazon EMR Notebooks programmatically</title>
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		<dc:creator><![CDATA[Fei Lang]]></dc:creator>
		<pubDate>Mon, 23 Nov 2020 18:15:55 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
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					<description><![CDATA[Amazon EMR is a big data service offered by AWS to run Apache Spark and other open-source applications on AWS in a cost-effective manner. Amazon EMR Notebooks is a managed environment based on Jupyter Notebook that allows data scientists, analysts, and developers to prepare and visualize data, collaborate with peers, build applications, and perform interactive [&#8230;]]]></description>
		
		
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