<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Amazon-Emr on CuraDevOps</title><link>https://curadevops.metacog.co.kr/tags/amazon-emr/</link><description>Recent content in Amazon-Emr on CuraDevOps</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 13 Oct 2026 17:52:48 +0000</lastBuildDate><atom:link href="https://curadevops.metacog.co.kr/tags/amazon-emr/index.xml" rel="self" type="application/rss+xml"/><item><title>Amazon EMR adds native data quality checks in Apache Spark jobs</title><link>https://curadevops.metacog.co.kr/insights/2026-10-13-amazon-emr-now-supports-native-data-quality-checks-in-apache/</link><pubDate>Tue, 13 Oct 2026 17:52:48 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-10-13-amazon-emr-now-supports-native-data-quality-checks-in-apache/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> GA feature that eliminates the need for separate data quality infrastructure alongside EMR/Spark workloads; worth noting when evaluating build-vs-buy for data validation tooling at no incremental cost.&lt;/li>
&lt;/ul></description></item><item><title>Amazon EMR 7.14 GA: Spark 3.5.8, Iceberg 1.10.1, 5x Serverless storage</title><link>https://curadevops.metacog.co.kr/insights/2026-09-23-amazon-emr-7-14-is-now-available/</link><pubDate>Wed, 23 Sep 2026 15:14:55 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-09-23-amazon-emr-7-14-is-now-available/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Plan:&lt;/strong> If your platform runs EMR workloads, this GA release brings notable operational improvements: Serverless shuffle storage raised from 200 GiB to 1 TiB, IPv6 EKS cluster support, and Spark Connect endpoints on EMR on EKS. Schedule evaluation for teams hitting storage or networking constraints this quarter.&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Skip&lt;/strong>&lt;/li>
&lt;/ul></description></item><item><title>Amazon EMR introduces LTS releases starting with Spark 4.1 (emr-spark-8.1.0)</title><link>https://curadevops.metacog.co.kr/insights/2026-09-23-amazon-emr-introduces-long-term-support-with-apache-spark-4/</link><pubDate>Wed, 23 Sep 2026 15:14:55 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-09-23-amazon-emr-introduces-long-term-support-with-apache-spark-4/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Plan:&lt;/strong> Teams running EMR on EKS should evaluate migrating production Spark workloads to emr-spark-8.1.0 to take advantage of the new 36-month LTS support window, reducing forced upgrade pressure; no hard deadline exists yet.&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Plan:&lt;/strong> EMR LTS changes the upgrade economics for data platform teams — evaluate standardizing on LTS releases to extend support cycles and reduce upgrade toil as part of the next data platform planning cycle.&lt;/li>
&lt;/ul></description></item></channel></rss>