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	<title>M Mehrtens &#8211; Noise</title>
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		<title>Use Amazon Kinesis Data Streams to deliver real-time data to Amazon OpenSearch Service domains with Amazon OpenSearch Ingestion</title>
		<link>https://noise.getoto.net/2024/11/11/use-amazon-kinesis-data-streams-to-deliver-real-time-data-to-amazon-opensearch-service-domains-with-amazon-opensearch-ingestion/</link>
		
		<dc:creator><![CDATA[M Mehrtens]]></dc:creator>
		<pubDate>Mon, 11 Nov 2024 21:11:49 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[In this post, we show how to use Amazon Kinesis Data Streams to buffer and aggregate real-time streaming data for delivery into Amazon OpenSearch Service domains and collections using Amazon OpenSearch Ingestion. You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. In this post, we focus on the use case for centralizing log aggregation for an organization that has a compliance need to archive and retain its log data.]]></description>
		
		
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		<title>Non-JSON ingestion using Amazon Kinesis Data Streams, Amazon MSK, and Amazon Redshift Streaming Ingestion</title>
		<link>https://noise.getoto.net/2023/10/02/non-json-ingestion-using-amazon-kinesis-data-streams-amazon-msk-and-amazon-redshift-streaming-ingestion/</link>
		
		<dc:creator><![CDATA[M Mehrtens]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 16:24:00 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
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					<description><![CDATA[Organizations are grappling with the ever-expanding spectrum of data formats in today’s data-driven landscape. From Avro’s binary serialization to the efficient and compact structure of Protobuf, the landscape of data formats has expanded far beyond the traditional realms of CSV and JSON. As organizations strive to derive insights from these diverse data streams, the challenge […]]]></description>
		
		
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