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	<title>Kinesis Data Analytics &#8211; Noise</title>
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		<title>Achieve full control over your data encryption using customer managed keys in Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2025/09/05/achieve-full-control-over-your-data-encryption-using-customer-managed-keys-in-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Lorenzo Nicora]]></dc:creator>
		<pubDate>Fri, 05 Sep 2025 20:33:20 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Encryption of both data at rest and in transit is a non-negotiable feature for most organizations. Furthermore, organizations operating in highly regulated and security-sensitive environments—such as those in the financial sector—often require full control over the cryptographic keys used for their workloads. Amazon Managed Service for Apache Flink makes it straightforward to process real-time data […]]]></description>
		
		
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		<item>
		<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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		<item>
		<title>Build a real-time analytics solution with Apache Pinot on AWS</title>
		<link>https://noise.getoto.net/2024/08/06/build-a-real-time-analytics-solution-with-apache-pinot-on-aws/</link>
		
		<dc:creator><![CDATA[Raj Ramasubbu]]></dc:creator>
		<pubDate>Tue, 06 Aug 2024 14:40:13 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Embedded Analytics]]></category>
		<category><![CDATA[Enterprise BI]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=68aa62d40ec09633fed249018756fa39</guid>

					<description><![CDATA[In this, we will provide a step-by-step guide showing you how you can build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization using Tableau. You can use Apache Pinot for batch processing use cases as well but, in this post, we will focus on a near real-time analytics use case.]]></description>
		
		
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		<item>
		<title>How PostNL processes billions of IoT events with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2024/07/15/how-postnl-processes-billions-of-iot-events-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Çağrı Çakır]]></dc:creator>
		<pubDate>Mon, 15 Jul 2024 16:55:39 +0000</pubDate>
				<category><![CDATA[Amazon Managed Service for Apache Flink]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[apache flink]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Internet of Things]]></category>
		<category><![CDATA[IOT]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=de4b6c8801fab3ec8397c402ff8d7ca4</guid>

					<description><![CDATA[This post is co-written with Çağrı Çakır and Özge Kavalcı from PostNL. PostNL is the designated universal postal service provider for the Netherlands and has three main business units offering postal delivery, parcel delivery, and logistics solutions for ecommerce and cross-border solutions. With 5,800 retail points, 11,000 mailboxes, and over 900 automated parcel lockers, the […]]]></description>
		
		
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		<item>
		<title>Announcing Amazon Managed Service for Apache Flink Renamed from Amazon Kinesis Data Analytics</title>
		<link>https://noise.getoto.net/2023/08/30/announcing-amazon-managed-service-for-apache-flink-renamed-from-amazon-kinesis-data-analytics/</link>
		
		<dc:creator><![CDATA[Channy Yun]]></dc:creator>
		<pubDate>Wed, 30 Aug 2023 17:43:54 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=fb789303891e10286b08aeef3d72051e</guid>

					<description><![CDATA[Today we are announcing the rename of Amazon Kinesis Data Analytics to Amazon Managed Service for Apache Flink, a fully managed and serverless service for you to build and run real-time streaming applications using Apache Flink. We continue to deliver the same experience in your Flink applications without any impact on ongoing operations, developments, or […]]]></description>
		
		
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		<item>
		<title>Temporal data lake architecture for benchmark and indices analytics</title>
		<link>https://noise.getoto.net/2023/07/21/temporal-data-lake-architecture-for-benchmark-and-indices-analytics/</link>
		
		<dc:creator><![CDATA[Krishna Gogineni]]></dc:creator>
		<pubDate>Fri, 21 Jul 2023 13:07:38 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=cfb9af85b47b030aab8352590a90a7b0</guid>

					<description><![CDATA[Financial trading houses and stock exchanges generate enormous volumes of data in near real-time, making it difficult to perform bi-temporal calculations that yield accurate results. Achieving this requires a processing architecture that can handle large volumes of data during peak bursts, meet strict latency requirements, and scale according to incoming volumes. In this post, we’ll […]]]></description>
		
		
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			</item>
		<item>
		<title>Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio</title>
		<link>https://noise.getoto.net/2023/06/29/migrate-from-amazon-kinesis-data-analytics-for-sql-applications-to-amazon-kinesis-data-analytics-studio/</link>
		
		<dc:creator><![CDATA[Nicholas Tunney]]></dc:creator>
		<pubDate>Thu, 29 Jun 2023 17:18:54 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Firehose]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities. We also show how to use […]]]></description>
		
		
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			</item>
		<item>
		<title>How Klarna Bank AB built real-time decision-making with Amazon Kinesis Data Analytics for Apache Flink</title>
		<link>https://noise.getoto.net/2023/06/13/how-klarna-bank-ab-built-real-time-decision-making-with-amazon-kinesis-data-analytics-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Nir Tsruya]]></dc:creator>
		<pubDate>Tue, 13 Jun 2023 17:03:55 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=09a024106f77de6fb3e1dc181e337bf7</guid>

					<description><![CDATA[This is a joint post co-authored with Nir Tsruya from Klarna Bank AB. Klarna is a leading global payments and shopping service, providing smarter and more flexible shopping and purchase experiences to 150 million active consumers across more than 500,000 merchants in 45 countries. Klarna offers direct payments, pay after delivery options, and instalment plans […]]]></description>
		
		
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		<item>
		<title>Real-time inference using deep learning within Amazon Kinesis Data Analytics for Apache Flink</title>
		<link>https://noise.getoto.net/2023/06/01/real-time-inference-using-deep-learning-within-amazon-kinesis-data-analytics-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Jeremy Ber]]></dc:creator>
		<pubDate>Thu, 01 Jun 2023 19:57:29 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c8c4eb49ee878c5c7d26be42dcaf3fa5</guid>

					<description><![CDATA[Apache Flink is a framework and distributed processing engine for stateful computations over data streams. Amazon Kinesis Data Analytics for Apache Flink is a fully managed service that enables you to use an Apache Flink application to process streaming data. The Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. […]]]></description>
		
		
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		<item>
		<title>Real-time time series anomaly detection for streaming applications on Amazon Kinesis Data Analytics</title>
		<link>https://noise.getoto.net/2023/05/23/real-time-time-series-anomaly-detection-for-streaming-applications-on-amazon-kinesis-data-analytics/</link>
		
		<dc:creator><![CDATA[Antonio Vespoli]]></dc:creator>
		<pubDate>Tue, 23 May 2023 20:11:17 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9ea9fa5ed431844450f34d9dbc35dc01</guid>

					<description><![CDATA[Detecting anomalies in real time from high-throughput streams is key for informing on timely decisions in order to adapt and respond to unexpected scenarios. Stream processing frameworks such as Apache Flink empower users to design systems that can ingest and process continuous flows of data at scale. In this post, we present a streaming time […]]]></description>
		
		
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		<item>
		<title>Real-time anomaly detection via Random Cut Forest in Amazon Kinesis Data Analytics</title>
		<link>https://noise.getoto.net/2023/05/01/real-time-anomaly-detection-via-random-cut-forest-in-amazon-kinesis-data-analytics/</link>
		
		<dc:creator><![CDATA[Daren Wong]]></dc:creator>
		<pubDate>Mon, 01 May 2023 18:33:40 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=dfd16677b3fe18acd6c0ddd1a917d393</guid>

					<description><![CDATA[Real-time anomaly detection describes a use case to detect and flag unexpected behavior in streaming data as it occurs. Online machine learning (ML) algorithms are popular for this use case because they don’t require any explicit rules and are able to adapt to a changing baseline, which is particularly useful for continuous streams of data […]]]></description>
		
		
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		<item>
		<title>Accelerating revenue growth with real-time analytics: Poshmark’s journey</title>
		<link>https://noise.getoto.net/2023/03/20/accelerating-revenue-growth-with-real-time-analytics-poshmarks-journey/</link>
		
		<dc:creator><![CDATA[Mahesh Pasupuleti]]></dc:creator>
		<pubDate>Mon, 20 Mar 2023 21:23:06 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Kinesis Video Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=0bf9498cf9e92379ba2bb080952af0bb</guid>

					<description><![CDATA[This post was co-written by Mahesh Pasupuleti and Gaurav Shah from Poshmark. Poshmark is a leading social marketplace for new and secondhand styles for women, men, kids, pets, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of Ecommerce, Poshmark makes buying and selling simple, social, […]]]></description>
		
		
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		<title>Automate deployment and version updates for Amazon Kinesis Data Analytics applications with AWS CodePipeline</title>
		<link>https://noise.getoto.net/2023/01/26/automate-deployment-and-version-updates-for-amazon-kinesis-data-analytics-applications-with-aws-codepipeline/</link>
		
		<dc:creator><![CDATA[Anand Shah]]></dc:creator>
		<pubDate>Thu, 26 Jan 2023 17:49:40 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[AWS CodePipeline]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=13862dc066fc6fd49397161b380581a4</guid>

					<description><![CDATA[Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Customers are already using Kinesis Data Analytics to perform real-time analytics on fast-moving data generated from data sources like IoT sensors, change data capture (CDC) events, gaming, social media, and many others. Apache Flink is […]]]></description>
		
		
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		<title>Learn more about Apache Flink and Amazon Kinesis Data Analytics with three new videos</title>
		<link>https://noise.getoto.net/2022/11/09/learn-more-about-apache-flink-and-amazon-kinesis-data-analytics-with-three-new-videos/</link>
		
		<dc:creator><![CDATA[Deepthi Mohan]]></dc:creator>
		<pubDate>Wed, 09 Nov 2022 18:51:40 +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=e3e034fb3d4eec0d16613a02853e8f4d</guid>

					<description><![CDATA[Amazon Kinesis Data Analytics is a fully managed service for Apache Flink that reduces the complexity of building, managing, and integrating Apache Flink applications with other AWS services. Apache Flink is an open-source framework and engine for stateful processing of data streams. It’s highly available and scalable, delivering high throughput and low latency for the […]]]></description>
		
		
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		<title>Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink</title>
		<link>https://noise.getoto.net/2022/10/05/common-streaming-data-enrichment-patterns-in-amazon-kinesis-data-analytics-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Ali Alemi]]></dc:creator>
		<pubDate>Wed, 05 Oct 2022 16:56:58 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a54fcc9628fc79cdd0008a7eec7a656d</guid>

					<description><![CDATA[Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving overall customer experience. Apache Flink is a distributed computation framework that allows for stateful real-time data processing. It provides a single set of APIs for building batch and streaming jobs, […]]]></description>
		
		
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		<title>Sink Amazon Kinesis Data Analytics Apache Flink output to Amazon Keyspaces using Apache Cassandra Connector</title>
		<link>https://noise.getoto.net/2022/06/30/sink-amazon-kinesis-data-analytics-apache-flink-output-to-amazon-keyspaces-using-apache-cassandra-connector/</link>
		
		<dc:creator><![CDATA[Pratik Patel]]></dc:creator>
		<pubDate>Thu, 30 Jun 2022 19:35:23 +0000</pubDate>
				<category><![CDATA[Amazon Keyspaces (for Apache Cassandra)]]></category>
		<category><![CDATA[Amazon Kinesis Analytics]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d35106ea1803a5dd1e7e2446d0d4b00b</guid>

					<description><![CDATA[Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces you don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. Amazon Keyspaces is serverless, so you only pay for the resources that you use and the service […]]]></description>
		
		
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		<title>Query your data streams interactively using Kinesis Data Analytics Studio and Python</title>
		<link>https://noise.getoto.net/2022/04/13/query-your-data-streams-interactively-using-kinesis-data-analytics-studio-and-python/</link>
		
		<dc:creator><![CDATA[Jeremy Ber]]></dc:creator>
		<pubDate>Wed, 13 Apr 2022 15:06:33 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e83f84cda9bc6dbda5fb02438a1eb54f</guid>

					<description><![CDATA[Amazon Kinesis Data Analytics Studio makes it easy for customers to analyze streaming data in real time, as well as build stream processing applications powered by Apache Flink using standard SQL, Python, and Scala. Just a few clicks in the AWS Management console lets customers launch a serverless notebook to query data streams and get […]]]></description>
		
		
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		<title>Use Amazon CodeGuru Profiler to monitor and optimize performance in Amazon Kinesis Data Analytics applications for Apache Flink</title>
		<link>https://noise.getoto.net/2022/03/31/use-amazon-codeguru-profiler-to-monitor-and-optimize-performance-in-amazon-kinesis-data-analytics-applications-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Praveen Panati]]></dc:creator>
		<pubDate>Thu, 31 Mar 2022 17:52:30 +0000</pubDate>
				<category><![CDATA[Amazon CodeGuru]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=fcfeda327ed01537104f55500c0219e1</guid>

					<description><![CDATA[Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data and gain actionable insights in real time with Apache Flink. Apache Flink is an open-source framework and engine for processing data streams in real time. Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications using open-source libraries and […]]]></description>
		
		
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		<title>Now Available: Updated guidance on the Data Analytics Lens for AWS Well-Architected Framework</title>
		<link>https://noise.getoto.net/2021/10/29/now-available-updated-guidance-on-the-data-analytics-lens-for-aws-well-architected-framework/</link>
		
		<dc:creator><![CDATA[Wallace Printz]]></dc:creator>
		<pubDate>Fri, 29 Oct 2021 16:47:19 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon OpenSearch Service (Successor to Amazon Elasticsearch Service)]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Well-Architected Framework]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1111830ddf7ea711bddd400d2a759fc4</guid>

					<description><![CDATA[Nearly all businesses today require some form of data analytics processing, from auditing user access to generating sales reports. For all your analytics needs, the Data Analytics Lens for AWS Well-Architected Framework provides prescriptive guidance to help you assess your workloads and identify best practices aligned to the AWS Well-Architected Pillars: Operational Excellence, Security, Reliability, […]]]></description>
		
		
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		<title>Query your Amazon MSK topics interactively using Amazon Kinesis Data Analytics Studio</title>
		<link>https://noise.getoto.net/2021/10/05/query-your-amazon-msk-topics-interactively-using-amazon-kinesis-data-analytics-studio/</link>
		
		<dc:creator><![CDATA[Chinmayi Narasimhadevara]]></dc:creator>
		<pubDate>Tue, 05 Oct 2021 17:51:33 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Kinesis Data Analytics]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=af2ba7da890a314f5f088e1cb359154f</guid>

					<description><![CDATA[Amazon Kinesis Data Analytics Studio makes it easy to analyze streaming data in real time and build stream processing applications powered by Apache Flink using standard SQL, Python, and Scala. With a few clicks on the AWS Management Console, you can launch a serverless notebook to query data streams and get results in seconds. Kinesis […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

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