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	<title>Amit Chowdhury &#8211; Noise</title>
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		<title>Build and optimize real-time stream processing pipeline with Amazon Kinesis Data Analytics for Apache Flink, Part 2</title>
		<link>https://noise.getoto.net/2021/07/02/build-and-optimize-real-time-stream-processing-pipeline-with-amazon-kinesis-data-analytics-for-apache-flink-part-2/</link>
		
		<dc:creator><![CDATA[Amit Chowdhury]]></dc:creator>
		<pubDate>Fri, 02 Jul 2021 17:58:54 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[In Part 1 of this series, you learned how to calibrate Amazon Kinesis Data Streams stream and Apache Flink application deployed in Amazon Kinesis Data Analytics for tuning Kinesis Processing Units (KPUs) to achieve higher performance. Although the collection, processing, and analysis of spiky data stream in real time is crucial, reacting to the spiky […]]]></description>
		
		
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		<title>Build and optimize a real-time stream processing pipeline with Amazon Kinesis Data Analytics for Apache Flink, Part 1</title>
		<link>https://noise.getoto.net/2021/07/02/build-and-optimize-a-real-time-stream-processing-pipeline-with-amazon-kinesis-data-analytics-for-apache-flink-part-1/</link>
		
		<dc:creator><![CDATA[Amit Chowdhury]]></dc:creator>
		<pubDate>Fri, 02 Jul 2021 17:57:55 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[In real-time stream processing, it becomes critical to collect, process, and analyze high-velocity real-time data to provide timely insights and react quickly to new information. Streaming data velocity could be unpredictable, and volume could spike based on user demand at a given time of day. Real-time analysis needs to handle the data spike, because any […]]]></description>
		
		
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