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	<title>Apache HBase &#8211; Noise</title>
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		<title>Enhancing data durability in Amazon EMR HBase on Amazon S3 with the Amazon EMR WAL feature</title>
		<link>https://noise.getoto.net/2025/06/02/enhancing-data-durability-in-amazon-emr-hbase-on-amazon-s3-with-the-amazon-emr-wal-feature/</link>
		
		<dc:creator><![CDATA[Suthan Phillips]]></dc:creator>
		<pubDate>Mon, 02 Jun 2025 14:23:19 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
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					<description><![CDATA[In this post, we dive deep into the new Amazon EMR WAL feature to help you understand how it works, how it enhances durability, and why it’s needed. We explore several scenarios that are well-suited for this feature.]]></description>
		
		
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		<title>Implement Amazon EMR HBase Graceful Scaling</title>
		<link>https://noise.getoto.net/2025/03/18/implement-amazon-emr-hbase-graceful-scaling/</link>
		
		<dc:creator><![CDATA[Yu-Ting Su]]></dc:creator>
		<pubDate>Tue, 18 Mar 2025 16:05:56 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
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		<category><![CDATA[Apache HBase]]></category>
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					<description><![CDATA[Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. We can use Amazon EMR with HBase on top of Amazon Simple Storage Service (Amazon S3) for random, strictly consistent real-time access for tables with Apache Kylin. This post demonstrates how to gracefully decommission target region servers programmatically.]]></description>
		
		
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