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	<title>Shawn Sachdev &#8211; Noise</title>
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		<title>Real-Time In-Stream Inference with AWS Kinesis, SageMaker &#038; Apache Flink</title>
		<link>https://noise.getoto.net/2020/11/27/real-time-in-stream-inference-with-aws-kinesis-sagemaker-apache-flink/</link>
		
		<dc:creator><![CDATA[Shawn Sachdev]]></dc:creator>
		<pubDate>Fri, 27 Nov 2020 17:50:10 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[data streaming]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[As businesses race to digitally transform, the challenge is to cope with the amount of data, and the value of that data diminishes over time. The challenge is to analyze, learn, and infer from real-time data to predict future states, as well as to detect anomalies and get accurate results. In this blog post, we&#8217;ll [&#8230;]]]></description>
		
		
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