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	<title>Avinash Desireddy &#8211; Noise</title>
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		<title>Build end-to-end Apache Spark pipelines with Amazon MWAA, Batch Processing Gateway, and Amazon EMR on EKS clusters</title>
		<link>https://noise.getoto.net/2025/05/01/build-end-to-end-apache-spark-pipelines-with-amazon-mwaa-batch-processing-gateway-and-amazon-emr-on-eks-clusters/</link>
		
		<dc:creator><![CDATA[Avinash Desireddy]]></dc:creator>
		<pubDate>Thu, 01 May 2025 15:51:29 +0000</pubDate>
				<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[open source]]></category>
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					<description><![CDATA[This post shows how to enhance the multi-cluster solution by integrating Amazon Managed Workflows for Apache Airflow (Amazon MWAA) with BPG. By using Amazon MWAA, we add job scheduling and orchestration capabilities, enabling you to build a comprehensive end-to-end Spark-based data processing pipeline.]]></description>
		
		
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		<title>Design patterns for implementing Hive Metastore for Amazon EMR on EKS</title>
		<link>https://noise.getoto.net/2025/02/28/design-patterns-for-implementing-hive-metastore-for-amazon-emr-on-eks/</link>
		
		<dc:creator><![CDATA[Avinash Desireddy]]></dc:creator>
		<pubDate>Fri, 28 Feb 2025 18:58:12 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we explore the design patterns for implementing the Hive Metastore (HMS) with EMR on EKS with Spark Operator, each offering distinct advantages depending on your requirements. Whether you choose to deploy HMS as a sidecar container within the Apache Spark Driver pod, or as a Kubernetes deployment in the data processing EKS cluster, or as an external HMS service in a separate EKS cluster, the key considerations revolve around communication efficiency, scalability, resource isolation, high availability, and security.]]></description>
		
		
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