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	<title>Jagadish Kumar &#8211; Noise</title>
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		<title>Generate vector embeddings for your data using AWS Lambda as a processor for Amazon OpenSearch Ingestion</title>
		<link>https://noise.getoto.net/2025/01/21/generate-vector-embeddings-for-your-data-using-aws-lambda-as-a-processor-for-amazon-opensearch-ingestion/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Tue, 21 Jan 2025 18:08:54 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we demonstrate how to use the OpenSearch Ingestion’s Lambda processor to generate embeddings for your source data and ingest them to an OpenSearch Serverless vector collection. This solution uses the flexibility of OpenSearch Ingestion pipelines with a Lambda processor to dynamically generate embeddings.]]></description>
		
		
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		<title>Introducing Point in Time queries and SQL/PPL support in Amazon OpenSearch Serverless</title>
		<link>https://noise.getoto.net/2024/11/19/introducing-point-in-time-queries-and-sql-ppl-support-in-amazon-opensearch-serverless/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Tue, 19 Nov 2024 20:45:25 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Today we announced support for three new features for Amazon OpenSearch Serverless: Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and PPL and SQL, which give you new ways to query your data. In this post, we discuss the benefits of these new features and how to get started.]]></description>
		
		
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		<title>Elevate your search and analytics skills with the new Amazon OpenSearch Service YouTube channel</title>
		<link>https://noise.getoto.net/2024/10/17/elevate-your-search-and-analytics-skills-with-the-new-amazon-opensearch-service-youtube-channel/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Thu, 17 Oct 2024 15:39:25 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Foundational (100)]]></category>
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					<description><![CDATA[We’re thrilled to announce the launch of the official Amazon OpenSearch Service YouTube channel—a comprehensive resource for anyone looking to master Amazon OpenSearch Service. Whether you’re just getting started with searches , vectors, analytics, or you’re looking to optimize large-scale implementations, our channel can be your go-to resource to help you unlock the full potential of OpenSearch Service.]]></description>
		
		
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		<item>
		<title>Introducing blueprint discovery and other UI enhancements for Amazon OpenSearch Ingestion</title>
		<link>https://noise.getoto.net/2024/05/23/introducing-blueprint-discovery-and-other-ui-enhancements-for-amazon-opensearch-ingestion/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Wed, 22 May 2024 21:17:28 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[Amazon OpenSearch Ingestion is a fully managed serverless pipeline that allows you to ingest, filter, transform, enrich, and route data to an Amazon OpenSearch Service domain or Amazon OpenSearch Serverless collection. OpenSearch Ingestion is capable of ingesting data from a wide variety of sources and has a rich ecosystem of built-in processors to take care […]]]></description>
		
		
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		<title>Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion</title>
		<link>https://noise.getoto.net/2024/03/07/petabyte-scale-log-analytics-with-amazon-s3-amazon-opensearch-service-and-amazon-opensearch-ingestion/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Thu, 07 Mar 2024 18:50:49 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, […]]]></description>
		
		
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		<title>Accelerate Amazon Redshift secure data use with Satori – Part 1</title>
		<link>https://noise.getoto.net/2023/09/21/accelerate-amazon-redshift-secure-data-use-with-satori-part-1/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Thu, 21 Sep 2023 16:38:14 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This post is co-written by Lisa Levy, Content Specialist at Satori. Data democratization enables users to discover and gain access to data faster, improving informed data-driven decisions and using data to generate business impact. It also increases collaboration across teams and organizations, breaking down data silos and enabling cross-functional teams to work together more effectively. […]]]></description>
		
		
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		<item>
		<title>Migrate Google BigQuery to Amazon Redshift using AWS Schema Conversion tool (SCT)</title>
		<link>https://noise.getoto.net/2022/12/14/migrate-google-bigquery-to-amazon-redshift-using-aws-schema-conversion-tool-sct/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Wed, 14 Dec 2022 20:15:18 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[Google BigQuery]]></category>
		<category><![CDATA[Migration]]></category>
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					<description><![CDATA[Amazon Redshift is a fast, fully-managed, petabyte scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Using Amazon Redshift Serverless and Query Editor v2, you can load and query large datasets in just a few clicks and pay only for what you use. The decoupled compute and […]]]></description>
		
		
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		<title>Build a big data Lambda architecture for batch and real-time analytics using Amazon Redshift</title>
		<link>https://noise.getoto.net/2022/05/09/build-a-big-data-lambda-architecture-for-batch-and-real-time-analytics-using-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Mon, 09 May 2022 19:34:26 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS IoT Core]]></category>
		<category><![CDATA[Kinesis Data Firehose]]></category>
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					<description><![CDATA[With real-time information about customers, products, and applications in hand, organizations can take action as events happen in their business application. For example, you can prevent financial fraud, deliver personalized offers, and identify and prevent failures before they occur in near real time. Although batch analytics provides abilities to analyze trends and process data at […]]]></description>
		
		
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