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	<title>Anubhav Awasthi &#8211; Noise</title>
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		<title>Run Apache Spark Structured Streaming jobs at scale on Amazon EMR Serverless</title>
		<link>https://noise.getoto.net/2024/12/10/run-apache-spark-structured-streaming-jobs-at-scale-on-amazon-emr-serverless/</link>
		
		<dc:creator><![CDATA[Anubhav Awasthi]]></dc:creator>
		<pubDate>Tue, 10 Dec 2024 18:26:28 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
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					<description><![CDATA[Amazon EMR Serverless emerges as a pivotal solution for running streaming workloads, enabling the use of the latest open source frameworks like Spark without the need for configuration, optimization, security, or cluster management. In this post, we highlight some of the key enhancements introduced for streaming jobs.]]></description>
		
		
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		<title>Fine-grained access control in Amazon EMR Serverless with AWS Lake Formation</title>
		<link>https://noise.getoto.net/2024/11/01/fine-grained-access-control-in-amazon-emr-serverless-with-aws-lake-formation/</link>
		
		<dc:creator><![CDATA[Anubhav Awasthi]]></dc:creator>
		<pubDate>Fri, 01 Nov 2024 14:53:56 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
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					<description><![CDATA[In this post, we discuss how to implement fine-grained access control in EMR Serverless using Lake Formation. With this integration, organizations can achieve better scalability, flexibility, and cost-efficiency in their data operations, ultimately driving more value from their data assets.]]></description>
		
		
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		<title>Monitor Apache HBase on Amazon EMR using Amazon Managed Service for Prometheus and Amazon Managed Grafana</title>
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		<dc:creator><![CDATA[Anubhav Awasthi]]></dc:creator>
		<pubDate>Mon, 13 Feb 2023 18:50:04 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Monitoring and observability]]></category>
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					<description><![CDATA[Amazon EMR provides a managed Apache Hadoop framework that makes it straightforward, fast, and cost-effective to run Apache HBase. Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. It is an open-source, non-relational, versioned database that runs on top of the Apache Hadoop Distributed File System (HDFS). It’s built […]]]></description>
		
		
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		<title>Introducing Amazon S3 shuffle in AWS Glue</title>
		<link>https://noise.getoto.net/2021/11/03/introducing-amazon-s3-shuffle-in-aws-glue/</link>
		
		<dc:creator><![CDATA[Anubhav Awasthi]]></dc:creator>
		<pubDate>Wed, 03 Nov 2021 19:22:55 +0000</pubDate>
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					<description><![CDATA[AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. In AWS Glue, you can use Apache Spark, which is an open-source, distributed processing system for your data integration tasks and big data workloads. Apache Spark utilizes in-memory caching and […]]]></description>
		
		
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