<?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>key-value-store &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/key-value-store/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Tue, 27 Oct 2020 13:42:43 +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>Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores</title>
		<link>https://noise.getoto.net/2020/10/27/bulldozer-batch-data-moving-from-data-warehouse-to-online-key-value-stores/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 27 Oct 2020 13:42:43 +0000</pubDate>
				<category><![CDATA[batch processing]]></category>
		<category><![CDATA[Data Warehouse]]></category>
		<category><![CDATA[data-movement]]></category>
		<category><![CDATA[etl]]></category>
		<category><![CDATA[key-value-store]]></category>
		<guid isPermaLink="false">https://medium.com/p/41bac13863f8</guid>

					<description><![CDATA[By Tianlong Chen and Ioannis PapapanagiotouNetflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to d...]]></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 36/40 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2025-12-08 08:59:40 by W3 Total Cache
-->