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	<title>batch processing &#8211; Noise</title>
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		<title>Supporting large campaigns at scale</title>
		<link>https://noise.getoto.net/2022/04/01/supporting-large-campaigns-at-scale/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Fri, 01 Apr 2022 00:20:00 +0000</pubDate>
				<category><![CDATA[batch processing]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[kafka]]></category>
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					<description><![CDATA[Introduction

At Grab, we run large marketing campaigns every day. A typical campaign may require executing multiple actions for millions of users all at once. The actions may include sending rewards, awarding points, and sending messages. Here is what...]]></description>
		
		
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		<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>
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					<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>
		
		
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