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	<title>Amazon Data Firehose &#8211; Noise</title>
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		<title>Optimize industrial IoT analytics with Amazon Data Firehose and Amazon S3 Tables with Apache Iceberg</title>
		<link>https://noise.getoto.net/2025/07/25/optimize-industrial-iot-analytics-with-amazon-data-firehose-and-amazon-s3-tables-with-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Ashok Padmanabhan]]></dc:creator>
		<pubDate>Fri, 25 Jul 2025 16:20:07 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS IoT Greengrass]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show how to use AWS service integrations to minimize custom code while providing a robust platform for industrial data ingestion, processing, and analytics. By using Amazon S3 Tables and its built-in optimizations, you can maximize query performance and minimize costs without additional infrastructure setup.]]></description>
		
		
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			</item>
		<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>
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					<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>Stream data from Amazon MSK to Apache Iceberg tables in Amazon S3 and Amazon S3 Tables using Amazon Data Firehose</title>
		<link>https://noise.getoto.net/2025/06/21/stream-data-from-amazon-msk-to-apache-iceberg-tables-in-amazon-s3-and-amazon-s3-tables-using-amazon-data-firehose/</link>
		
		<dc:creator><![CDATA[Pratik Patel]]></dc:creator>
		<pubDate>Fri, 20 Jun 2025 21:20:56 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon S3 Tables]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Big Data]]></category>
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					<description><![CDATA[In this post, we walk through two solutions that demonstrate how to stream data from your Amazon MSK provisioned cluster to Iceberg-based data lakes in Amazon S3 using Amazon Data Firehose.]]></description>
		
		
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			</item>
		<item>
		<title>PackScan: Building real-time sort center analytics with AWS Services</title>
		<link>https://noise.getoto.net/2025/05/30/packscan-building-real-time-sort-center-analytics-with-aws-services/</link>
		
		<dc:creator><![CDATA[Sairam Vangapally]]></dc:creator>
		<pubDate>Fri, 30 May 2025 16:08:28 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Simple Notification Service (SNS)]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we explore how PackScan uses Amazon cloud-based services to drive real-time visibility, improve logistics efficiency, and support the seamless movement of packages across Amazon’s Middle Mile network.]]></description>
		
		
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			</item>
		<item>
		<title>How Airties achieved scalability and cost-efficiency by moving from Kafka to Amazon Kinesis Data Streams</title>
		<link>https://noise.getoto.net/2025/05/29/how-airties-achieved-scalability-and-cost-efficiency-by-moving-from-kafka-to-amazon-kinesis-data-streams/</link>
		
		<dc:creator><![CDATA[Steven Aerts, Reza Radmehr]]></dc:creator>
		<pubDate>Thu, 29 May 2025 15:04:14 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
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					<description><![CDATA[Airties is a wireless networking company that provides AI-driven solutions for enhancing home connectivity. This post explores the strategies the Airties team employed during their migration from Apache Kafka to Amazon Kinesis Data Streams, the challenges they overcame, and how they achieved a more efficient, scalable, and maintenance-free streaming infrastructure.]]></description>
		
		
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			</item>
		<item>
		<title>Unify streaming and analytical data with Amazon Data Firehose and Amazon SageMaker Lakehouse</title>
		<link>https://noise.getoto.net/2025/05/27/unify-streaming-and-analytical-data-with-amazon-data-firehose-and-amazon-sagemaker-lakehouse/</link>
		
		<dc:creator><![CDATA[Kalyan Janaki]]></dc:creator>
		<pubDate>Tue, 27 May 2025 16:44:08 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Amazon SageMaker Lakehouse]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show you how to create Iceberg tables in Amazon SageMaker Unified Studio and stream data to these tables using Firehose. With this integration, data engineers, analysts, and data scientists can seamlessly collaborate and build end-to-end analytics and ML workflows using SageMaker Unified Studio, removing traditional silos and accelerating the journey from data ingestion to production ML models.]]></description>
		
		
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		<item>
		<title>Streamline AWS WAF log analysis with Apache Iceberg and Amazon Data Firehose</title>
		<link>https://noise.getoto.net/2025/02/18/streamline-aws-waf-log-analysis-with-apache-iceberg-and-amazon-data-firehose/</link>
		
		<dc:creator><![CDATA[Charishma Makineni]]></dc:creator>
		<pubDate>Tue, 18 Feb 2025 21:12:39 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS WAF]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we demonstrate how to build a scalable AWS WAF log analysis solution using Firehose and Apache Iceberg. Firehose simplifies the entire process—from log ingestion to storage—by allowing you to configure a delivery stream that delivers AWS WAF logs directly to Apache Iceberg tables in Amazon S3. The solution requires no infrastructure setup and you pay only for the data you process.]]></description>
		
		
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			</item>
		<item>
		<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>
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					<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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			</item>
		<item>
		<title>Replicate changes from databases to Apache Iceberg tables using Amazon Data Firehose (in preview)</title>
		<link>https://noise.getoto.net/2024/11/15/replicate-changes-from-databases-to-apache-iceberg-tables-using-amazon-data-firehose-in-preview/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Fri, 15 Nov 2024 19:45:22 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
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					<description><![CDATA[Amazon Data Firehose introduces a new capability that captures database changes and streams updates to a data lake or warehouse, supporting PostgreSQL, MySQL, Oracle, SQL Server, and MongoDB, with automatic scaling and minimal impact on transaction performance.]]></description>
		
		
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			</item>
		<item>
		<title>Ingest telemetry messages in near real time with Amazon API Gateway, Amazon Data Firehose, and Amazon Location Service</title>
		<link>https://noise.getoto.net/2024/11/14/ingest-telemetry-messages-in-near-real-time-with-amazon-api-gateway-amazon-data-firehose-and-amazon-location-service/</link>
		
		<dc:creator><![CDATA[Srini Ponnada]]></dc:creator>
		<pubDate>Thu, 14 Nov 2024 15:57:35 +0000</pubDate>
				<category><![CDATA[Amazon Data Firehose]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[These organizations use third-party satellite-powered terminal devices for remote monitoring using telemetry and NMEA-0183 formatted messages generated in near real time. This post demonstrates how to implement a satellite-based remote alerting and response solution on the AWS Cloud to provide time-critical alerts and actionable insights, with a focus on telemetry message ingestion and alerts. Key services in the solution include Amazon API Gateway, Amazon Data Firehose, and Amazon Location Service.]]></description>
		
		
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			</item>
		<item>
		<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>
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					<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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