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	<title>Nihar Sheth &#8211; Noise</title>
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		<title>Amazon Kinesis Data Streams on-demand capacity mode now scales up to 1 GB/second ingest capacity</title>
		<link>https://noise.getoto.net/2023/08/02/amazon-kinesis-data-streams-on-demand-capacity-mode-now-scales-up-to-1-gb-second-ingest-capacity/</link>
		
		<dc:creator><![CDATA[Nihar Sheth]]></dc:creator>
		<pubDate>Tue, 01 Aug 2023 22:30:16 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Amazon Kinesis Data Streams is a serverless data streaming service that makes it easy to capture, process, and store streaming data at any scale. As customers collect and stream more types of data, they have asked for simpler, elastic data streams that can handle variable and unpredictable data traffic. In November 2021, Amazon Web Services […]]]></description>
		
		
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		<title>Retaining data streams up to one year with Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2021/02/23/retaining-data-streams-up-to-one-year-with-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Nihar Sheth]]></dc:creator>
		<pubDate>Tue, 23 Feb 2021 17:43:00 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Streaming data is used extensively for use cases like sharing data between applications, streaming ETL (extract, transform, and load), real-time analytics, processing data from internet of things (IoT) devices, application monitoring, fraud detection, live leaderboards, and more. Typically, data streams are stored for short durations of time before being loaded into a permanent data store […]]]></description>
		
		
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