<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>data-platforms &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/data-platforms/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Fri, 14 Jan 2022 04:23:22 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Auto-Diagnosis and Remediation in Netflix Data Platform</title>
		<link>https://noise.getoto.net/2022/01/14/auto-diagnosis-and-remediation-in-netflix-data-platform/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Fri, 14 Jan 2022 04:23:22 +0000</pubDate>
				<category><![CDATA[auto-remediation]]></category>
		<category><![CDATA[automation]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[data-platforms]]></category>
		<category><![CDATA[stream-processing]]></category>
		<guid isPermaLink="false">https://medium.com/p/5bcc52d853d1</guid>

					<description><![CDATA[By Vikram Srivastava and Marcelo MaywormNetflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gami...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Optimizing data warehouse storage</title>
		<link>https://noise.getoto.net/2020/12/21/optimizing-data-warehouse-storage/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 21 Dec 2020 16:15:10 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[big-data-infrastructure]]></category>
		<category><![CDATA[data-infrastructure]]></category>
		<category><![CDATA[data-platforms]]></category>
		<category><![CDATA[Optimization]]></category>
		<guid isPermaLink="false">https://medium.com/p/7b94a48fdcbe</guid>

					<description><![CDATA[By Anupom SyamBackgroundAt Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3, and each day we ingest and create additional Petabytes. At this scale, we can gain a significant amount of performance and cost bene...]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 27/67 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2025-12-12 01:15:27 by W3 Total Cache
-->