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	<title>Amazon Kinesis &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
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		<title>Amazon FSx for NetApp ONTAP now integrates with Amazon S3 for seamless data access</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-fsx-for-netapp-ontap-now-integrates-with-amazon-s3-for-seamless-data-access/</link>
		
		<dc:creator><![CDATA[Veliswa Boya]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:59:54 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Bedrock Knowledge Bases]]></category>
		<category><![CDATA[Amazon FSx for NetApp ONTAP]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[storage]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d64d25cf9538402021b5b39f04d697dd</guid>

					<description><![CDATA[Access FSx for NetApp ONTAP file data through S3 to enable AI/ML workloads and analytics—letting you use enterprise file data with Bedrock, SageMaker, and analytics services while it remains in your file system.]]></description>
		
		
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		<item>
		<title>Medidata’s journey to a modern lakehouse architecture on AWS</title>
		<link>https://noise.getoto.net/2025/11/27/medidatas-journey-to-a-modern-lakehouse-architecture-on-aws/</link>
		
		<dc:creator><![CDATA[Mike Araujo]]></dc:creator>
		<pubDate>Thu, 27 Nov 2025 01:00:46 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Case Study]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[In this post, we show you how Medidata created a unified, scalable, real-time data platform that serves thousands of clinical trials worldwide with AWS services, Apache Iceberg, and a modern lakehouse architecture.]]></description>
		
		
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			</item>
		<item>
		<title>Introducing AWS Lambda event source mapping tools in the AWS Serverless MCP Server</title>
		<link>https://noise.getoto.net/2025/10/30/introducing-aws-lambda-event-source-mapping-tools-in-the-aws-serverless-mcp-server/</link>
		
		<dc:creator><![CDATA[Ben Freiberg]]></dc:creator>
		<pubDate>Thu, 30 Oct 2025 16:53:19 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=35412f6fc8d4e55280fce9ae9892c32a</guid>

					<description><![CDATA[Modern serverless applications increasingly rely on event-driven architectures, where AWS Lambda functions process events from various sources like Amazon Kinesis, Amazon DynamoDB Streams, Amazon Simple Queue Service (Amazon SQS), Amazon Managed Streaming for Apache Kafka (Amazon MSK), and self-managed Apache Kafka. Although event source mappings (ESM) offer a powerful mechanism for integrating AWS Lambda with […]]]></description>
		
		
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		<item>
		<title>Amazon Kinesis Data Streams now supports 10x larger record sizes: Simplifying real-time data processing</title>
		<link>https://noise.getoto.net/2025/10/28/amazon-kinesis-data-streams-now-supports-10x-larger-record-sizes-simplifying-real-time-data-processing/</link>
		
		<dc:creator><![CDATA[Sumant Nemmani]]></dc:creator>
		<pubDate>Tue, 28 Oct 2025 19:23:30 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9c5cbc2af01719f3122b3aedeca265ba</guid>

					<description><![CDATA[Today, AWS announced that Amazon Kinesis Data Streams now supports record sizes up to 10MiB – a tenfold increase from the previous limit. In this post, we explore Amazon Kinesis Data Streams large record support, including key use cases, configuration of maximum record sizes, throttling considerations, and best practices for optimal performance.]]></description>
		
		
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		<item>
		<title>Building a real-time ICU patient analytics pipeline with AWS Lambda event source mapping</title>
		<link>https://noise.getoto.net/2025/10/11/building-a-real-time-icu-patient-analytics-pipeline-with-aws-lambda-event-source-mapping/</link>
		
		<dc:creator><![CDATA[Priyanka Chaudhary]]></dc:creator>
		<pubDate>Fri, 10 Oct 2025 21:55:53 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS IoT Core]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=273a5c09548b2a3a6a834ded0d63b2a1</guid>

					<description><![CDATA[In this post, we demonstrate how to build a serverless architecture that processes real-time ICU patient monitoring data using Lambda event source mapping for immediate alert generation and data aggregation, followed by persistent storage in Amazon S3 with an Iceberg catalog for comprehensive healthcare analytics.]]></description>
		
		
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		<item>
		<title>Build a streaming data mesh using Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2025/09/10/build-a-streaming-data-mesh-using-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Felix John]]></dc:creator>
		<pubDate>Wed, 10 Sep 2025 16:50:11 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0c8017a3cfb68dae5d61188f8b2d4153</guid>

					<description><![CDATA[AWS provides two primary solutions for streaming ingestion and storage: Amazon Managed Streaming for Apache Kafka (Amazon MSK) or Amazon Kinesis Data Streams. These services are key to building a streaming mesh on AWS. In this post, we explore how to build a streaming mesh using Kinesis Data Streams.]]></description>
		
		
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		<item>
		<title>Monitor and debug event-driven applications with new Amazon EventBridge logging</title>
		<link>https://noise.getoto.net/2025/07/16/monitor-and-debug-event-driven-applications-with-new-amazon-eventbridge-logging/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Tue, 15 Jul 2025 23:33:39 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Application Integration]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[Management Tools]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0518fc9bc5eb70edf20cb1f50126b728</guid>

					<description><![CDATA[Amazon EventBridge now supports enhanced logging capabilities that enable you to easily monitor and debug your event-driven applications on AWS. Enhanced logging provides complete event lifecycle tracking with detailed logs that show when events are published, matched against rules, delivered to subscribers, or encounter failures.]]></description>
		
		
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		<item>
		<title>Overcome your Kafka Connect challenges with Amazon Data Firehose</title>
		<link>https://noise.getoto.net/2025/07/07/overcome-your-kafka-connect-challenges-with-amazon-data-firehose/</link>
		
		<dc:creator><![CDATA[Swapna Bandla]]></dc:creator>
		<pubDate>Mon, 07 Jul 2025 14:26:11 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a0b648066920dc7d1b6fc58130c8eb5a</guid>

					<description><![CDATA[We’re happy to announce a new feature in the Data Firehose integration with Amazon MSK. You can now specify the Firehose stream to either read from the earliest position on the Kafka topic or from a custom timestamp to begin reading from your MSK topic. In this post of this series, we focus on managed data delivery from Kafka to your data lake.]]></description>
		
		
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		<item>
		<title>Announcing end-of-support for Amazon Kinesis Client Library 1.x and Amazon Kinesis Producer Library 0.x effective January 30, 2026</title>
		<link>https://noise.getoto.net/2025/03/13/announcing-end-of-support-for-amazon-kinesis-client-library-1-x-and-amazon-kinesis-producer-library-0-x-effective-january-30-2026/</link>
		
		<dc:creator><![CDATA[Minu Hong]]></dc:creator>
		<pubDate>Thu, 13 Mar 2025 20:17:02 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[deprecation]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=cb656f49cc7043f60842a50ad8c3e534</guid>

					<description><![CDATA[Amazon Kinesis Client Library (KCL) 1.x and Amazon Kinesis Producer Library (KPL) 0.x will reach end-of-support on January 30, 2026. Accordingly, these versions will enter maintenance mode on April 17, 2025. During maintenance mode, AWS will provide updates only for critical bug fixes and security issues. Major versions in maintenance mode will not receive updates for new features or feature enhancements.]]></description>
		
		
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		<item>
		<title>Amazon Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools</title>
		<link>https://noise.getoto.net/2025/02/26/amazon-web-services-named-a-leader-in-the-2024-gartner-magic-quadrant-for-data-integration-tools/</link>
		
		<dc:creator><![CDATA[William Vambenepe]]></dc:creator>
		<pubDate>Wed, 26 Feb 2025 17:17:34 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=5776fec6f1d0d8c7d4363aad975ead91</guid>

					<description><![CDATA[Amazon Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools. We were positioned in the Challengers Quadrant in 2023. This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions.]]></description>
		
		
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		<item>
		<title>Serverless ICYMI Q4 2024</title>
		<link>https://noise.getoto.net/2025/01/16/serverless-icymi-q4-2024/</link>
		
		<dc:creator><![CDATA[Eric Johnson]]></dc:creator>
		<pubDate>Thu, 16 Jan 2025 21:29:37 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon MQ*]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[AWS Amplify]]></category>
		<category><![CDATA[AWS AppSync]]></category>
		<category><![CDATA[AWS Fargate]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4fcd067ef3c8cf4d1910cc906cc309d5</guid>

					<description><![CDATA[Welcome to the 27th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. At the end of a quarter, we share the most recent product launches, feature enhancements, blog posts, webinars, live streams, and other interesting things that you might have missed! In case you missed our last ICYMI, check out […]]]></description>
		
		
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		<title>Top 6 game changers from AWS that redefine streaming data</title>
		<link>https://noise.getoto.net/2024/12/17/top-6-game-changers-from-aws-that-redefine-streaming-data/</link>
		
		<dc:creator><![CDATA[Sai Maddali]]></dc:creator>
		<pubDate>Tue, 17 Dec 2024 16:35:19 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8d9d28cf8c04606ef5d53f5bba0beaa5</guid>

					<description><![CDATA[Recently, AWS introduced over 50 new capabilities across its streaming services, significantly enhancing performance, scale, and cost-efficiency. Some of these innovations have tripled performance, provided 20 times faster scaling, and reduced failure recovery times by up to 90%. We have made it nearly effortless for customers to bring real-time context to AI applications and lakehouses. In this post, we discuss the top six game changers that will redefine AWS streaming data.]]></description>
		
		
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		<title>Introducing new Event Source Mapping (ESM) metrics for AWS Lambda</title>
		<link>https://noise.getoto.net/2024/11/22/introducing-new-event-source-mapping-esm-metrics-for-aws-lambda/</link>
		
		<dc:creator><![CDATA[Chris McPeek]]></dc:creator>
		<pubDate>Fri, 22 Nov 2024 17:00:15 +0000</pubDate>
				<category><![CDATA[Amazon CloudWatch]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c196321d114d12841f58f58f4c9fdf26</guid>

					<description><![CDATA[This post is written by Tarun Rai Madan, Principal Product Manager –  Serverless, and Rajesh Kumar Pandey, Principal Software Engineer, Serverless Today, AWS is announcing new opt-in Amazon CloudWatch metrics for AWS Lambda Event Source Mappings that subscribe to Amazon Simple Queue Service (Amazon SQS), Amazon Kinesis, and Amazon DynamoDB event sources. These metrics include PolledEventCount, […]]]></description>
		
		
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		<title>AWS Weekly Roundup: 20 years of AWS News Blog, Express brokers for Amazon MSK, Windows Server 2025 images on EC2, and more (Nov 11, 2024)</title>
		<link>https://noise.getoto.net/2024/11/11/aws-weekly-roundup-20-years-of-aws-news-blog-express-brokers-for-amazon-msk-windows-server-2025-images-on-ec2-and-more-nov-11-2024/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Mon, 11 Nov 2024 16:39:35 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Polly]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Week in Review]]></category>
		<category><![CDATA[Windows on AWS]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2944ecf34e33bf1ae12604449f3825de</guid>

					<description><![CDATA[Happy 20th Anniversary of the AWS News Blog! 🎉🥳🎊 On November 9, 2004, Jeff Barr published his first blog post. At the time, he started a personal blog site using TypePad. He wanted to speak to his readers with his personal voice, not the company or team. On April 29, 2014, we created a new […]]]></description>
		
		
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		<title>Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0</title>
		<link>https://noise.getoto.net/2024/11/06/reduce-your-compute-costs-for-stream-processing-applications-with-kinesis-client-library-3-0/</link>
		
		<dc:creator><![CDATA[Minu Hong]]></dc:creator>
		<pubDate>Wed, 06 Nov 2024 20:19:13 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=aa7a676f867ca64c8e6fe7281e487287</guid>

					<description><![CDATA[We are excited to launch Kinesis Client Library 3.0, which enables you to reduce your stream processing cost by up to 33% compared to previous KCL versions. KCL 3.0 achieves this with a new load balancing algorithm that continuously monitors the resource utilization of workers and redistributes the load evenly to all workers. In this post, we discuss load balancing challenges in stream processing using a sample workload, demonstrating how uneven load distribution across workers increases processing costs.]]></description>
		
		
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		<title>Stream real-time data into Apache Iceberg tables in Amazon S3 using Amazon Data Firehose</title>
		<link>https://noise.getoto.net/2024/11/06/stream-real-time-data-into-apache-iceberg-tables-in-amazon-s3-using-amazon-data-firehose/</link>
		
		<dc:creator><![CDATA[Diego Garcia Garcia]]></dc:creator>
		<pubDate>Wed, 06 Nov 2024 17:31:50 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6c4ad81abd8579516660cf46be0a0b52</guid>

					<description><![CDATA[In this post, we discuss how you can send real-time data streams into Iceberg tables on Amazon S3 by using Amazon Data Firehose. Amazon Data Firehose simplifies the process of streaming data by allowing users to configure a delivery stream, select a data source, and set Iceberg tables as the destination. Once set up, the Firehose stream is ready to deliver data.]]></description>
		
		
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		<title>Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio</title>
		<link>https://noise.getoto.net/2024/10/17/migrate-from-amazon-kinesis-data-analytics-for-sql-to-amazon-managed-service-for-apache-flink-and-amazon-managed-service-for-apache-flink-studio/</link>
		
		<dc:creator><![CDATA[Julian Payne]]></dc:creator>
		<pubDate>Thu, 17 Oct 2024 15:16:54 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=dee6157b0dddbcc2dbd44b5b446dc7b1</guid>

					<description><![CDATA[Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has made the decision to discontinue Kinesis Data Analytics for SQL, effective January 27, 2026. In this post, we explain why we plan to end support for Kinesis Data Analytics for SQL, alternative AWS offerings, and how to migrate your SQL queries and workloads.]]></description>
		
		
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		<title>Build a real-time streaming generative AI application using Amazon Bedrock, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2024/06/27/build-a-real-time-streaming-generative-ai-application-using-amazon-bedrock-amazon-managed-service-for-apache-flink-and-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Felix John]]></dc:creator>
		<pubDate>Thu, 27 Jun 2024 18:10:40 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1159a156abce0e20ddc014d2448298a5</guid>

					<description><![CDATA[Data streaming enables generative AI to take advantage of real-time data and provide businesses with rapid insights. This post looks at how to integrate generative AI capabilities when implementing a streaming architecture on AWS using managed services such as Managed Service for Apache Flink and Amazon Kinesis Data Streams for processing streaming data and Amazon Bedrock to utilize generative AI capabilities. We include a reference architecture and a step-by-step guide on infrastructure setup and sample code for implementing the solution with the AWS Cloud Development Kit (AWS CDK). You can find the code to try it out yourself on the GitHub repo.]]></description>
		
		
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		<title>Build Spark Structured Streaming applications with the open source connector for Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2024/05/24/build-spark-structured-streaming-applications-with-the-open-source-connector-for-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Idan Maizlits]]></dc:creator>
		<pubDate>Fri, 24 May 2024 18:30:10 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9ee9370f3253e9de863569de240c9993</guid>

					<description><![CDATA[Apache Spark is a powerful big data engine used for large-scale data analytics. Its in-memory computing makes it great for iterative algorithms and interactive queries. You can use Apache Spark to process streaming data from a variety of streaming sources, including Amazon Kinesis Data Streams for use cases like clickstream analysis, fraud detection, and more. Kinesis Data Streams is a serverless streaming data service that makes it straightforward to capture, process, and store data streams at any scale. With the new open source Amazon Kinesis Data Streams Connector for Spark Structured Streaming, you can use the newer Spark Data Sources API. It also supports enhanced fan-out for dedicated read throughput and faster stream processing. In this post, we deep dive into the internal details of the connector and show you how to use it to consume and produce records from and to Kinesis Data Streams using Amazon EMR.]]></description>
		
		
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			</item>
		<item>
		<title>Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake</title>
		<link>https://noise.getoto.net/2024/04/12/uplevel-your-data-architecture-with-real-time-streaming-using-amazon-data-firehose-and-snowflake/</link>
		
		<dc:creator><![CDATA[Swapna Bandla]]></dc:creator>
		<pubDate>Fri, 12 Apr 2024 16:31:36 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Kinesis Data Firehose]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=cf2db790dfbd9df6d8135290f4abb83f</guid>

					<description><![CDATA[Today’s fast-paced world demands timely insights and decisions, which is driving the importance of streaming data. Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

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