<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Experience-Based Acceleration &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/experience-based-acceleration/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Wed, 22 Oct 2025 07:15:11 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Accelerating legacy code modernization: EPAM’s journey with Amazon Q Developer</title>
		<link>https://noise.getoto.net/2025/08/26/accelerating-legacy-code-modernization-epams-journey-with-amazon-q-developer/</link>
		
		<dc:creator><![CDATA[Venugopalan Vasudevan]]></dc:creator>
		<pubDate>Mon, 25 Aug 2025 22:17:06 +0000</pubDate>
				<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Partner solutions]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=060b5c8dcdc246565f60869f4408ec34</guid>

					<description><![CDATA[This post is co-written with Nazariy Popov, Volodymyr Konchuk, and Andrii Davydenko from EPAM Legacy code modernization presents significant challenges for organizations looking to stay competitive in today’s rapidly evolving digital landscape. Organizations face the dual challenge of maintaining business continuity while modernizing their legacy systems for cloud environments. This transformation requires organizations to carefully […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How Stifel built a modern data platform using AWS Glue and an event-driven domain architecture</title>
		<link>https://noise.getoto.net/2025/07/07/how-stifel-built-a-modern-data-platform-using-aws-glue-and-an-event-driven-domain-architecture/</link>
		
		<dc:creator><![CDATA[Amit Maindola]]></dc:creator>
		<pubDate>Mon, 07 Jul 2025 14:22:19 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d7d1155705679766c1b43ca02808c1dc</guid>

					<description><![CDATA[In this post, we show you how Stifel implemented a modern data platform using AWS services and open data standards, building an event-driven architecture for domain data products while centralizing the metadata to facilitate discovery and sharing of data products.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How Skroutz handles real-time schema evolution in Amazon Redshift with Debezium</title>
		<link>https://noise.getoto.net/2025/06/23/how-skroutz-handles-real-time-schema-evolution-in-amazon-redshift-with-debezium/</link>
		
		<dc:creator><![CDATA[Konstantina Mavrodimitraki]]></dc:creator>
		<pubDate>Mon, 23 Jun 2025 18:34:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8f9072c7b120923a5d0381f473872a4e</guid>

					<description><![CDATA[Skroutz chose Amazon Redshift to promote data democratization, empowering teams across the organization with seamless access to data, enabling faster insights and more informed decision-making. In this post, we share how we handled real-time schema evolution in Amazon Redshift with Debezium.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Streamline Operational Troubleshooting with Amazon Q Developer CLI</title>
		<link>https://noise.getoto.net/2025/06/20/streamline-operational-troubleshooting-with-amazon-q-developer-cli/</link>
		
		<dc:creator><![CDATA[Kirankumar Chandrashekar]]></dc:creator>
		<pubDate>Thu, 19 Jun 2025 22:11:59 +0000</pubDate>
				<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[Development]]></category>
		<category><![CDATA[devops]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[How-to]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=50f04d3c08884745b710965aeeb368a6</guid>

					<description><![CDATA[Amazon Q Developer is the most capable generative AI–powered assistant for software development, helping developers perform complex workflows. Amazon Q Developer command-line interface (CLI) combines conversational AI with direct access to AWS services, helping you understand, build, and operate applications more effectively. The Amazon Q Developer CLI executes commands, analyzes outputs, and provides contextual recommendations […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ef85cde8635abf952d18bac9deb07b9a</guid>

					<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>
		
		
		<enclosure url="" length="0" type="" />

			</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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c06a4f1bf025b654063e981735e80ad9</guid>

					<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>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Unlock self-serve streaming SQL with Amazon Managed Service for Apache Flink</title>
		<link>https://noise.getoto.net/2025/05/28/unlock-self-serve-streaming-sql-with-amazon-managed-service-for-apache-flink/</link>
		
		<dc:creator><![CDATA[Sofie Zilberman]]></dc:creator>
		<pubDate>Wed, 28 May 2025 10:58:29 +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[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=678e8c7ae882e7d6bf14ad64daa7dbbd</guid>

					<description><![CDATA[In this post, we present Riskified’s journey toward enabling self-service streaming SQL pipelines. We walk through the motivations behind the shift from Confluent ksqlDB to Apache Flink, the architecture Riskified built using Amazon Managed Service for Apache Flink, the technical challenges they faced, and the solutions that helped them make streaming accessible, scalable, and production-ready.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Implement Amazon EMR HBase Graceful Scaling</title>
		<link>https://noise.getoto.net/2025/03/18/implement-amazon-emr-hbase-graceful-scaling/</link>
		
		<dc:creator><![CDATA[Yu-Ting Su]]></dc:creator>
		<pubDate>Tue, 18 Mar 2025 16:05:56 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Apache HBase]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=84c405b4f1628ccefb87268a5a9f6882</guid>

					<description><![CDATA[Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. We can use Amazon EMR with HBase on top of Amazon Simple Storage Service (Amazon S3) for random, strictly consistent real-time access for tables with Apache Kylin. This post demonstrates how to gracefully decommission target region servers programmatically.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How Nielsen uses serverless concepts on Amazon EKS for big data processing with Spark workloads</title>
		<link>https://noise.getoto.net/2025/01/28/how-nielsen-uses-serverless-concepts-on-amazon-eks-for-big-data-processing-with-spark-workloads/</link>
		
		<dc:creator><![CDATA[Shani Adadi Kazaz]]></dc:creator>
		<pubDate>Tue, 28 Jan 2025 16:37:22 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=db84d45a209843818158962112e622d7</guid>

					<description><![CDATA[In this post, we follow Nielsen’s journey to build a robust and scalable architecture while enjoying linear scaling. We start by examining the initial challenges Nielsen faced and the root causes behind these issues. Then, we explore Nielsen’s solution: running Spark on Amazon Elastic Kubernetes Service (Amazon EKS) while adopting serverless concepts.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How EchoStar ingests terabytes of data daily across its 5G Open RAN network in near real-time using Amazon Redshift Serverless Streaming Ingestion</title>
		<link>https://noise.getoto.net/2024/07/08/how-echostar-ingests-terabytes-of-data-daily-across-its-5g-open-ran-network-in-near-real-time-using-amazon-redshift-serverless-streaming-ingestion/</link>
		
		<dc:creator><![CDATA[Balaram Mathukumilli]]></dc:creator>
		<pubDate>Mon, 08 Jul 2024 19:24:01 +0000</pubDate>
				<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=539d97237d9bc9a1c22048edf779b79a</guid>

					<description><![CDATA[EchoStar, a connectivity company providing television entertainment, wireless communications, and award-winning technology to residential and business customers throughout the US, deployed the first standalone, cloud-native Open RAN 5G network on AWS public cloud. This post provides an overview of real-time data analysis with Amazon Redshift and how EchoStar uses it to ingest hundreds of megabytes per second. As data sources and volumes grew across its network, EchoStar migrated from a single Redshift Serverless workgroup to a multi-warehouse architecture with live data sharing.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Implement a full stack serverless search application using AWS Amplify, Amazon Cognito, Amazon API Gateway, AWS Lambda, and Amazon OpenSearch Serverless</title>
		<link>https://noise.getoto.net/2024/05/31/implement-a-full-stack-serverless-search-application-using-aws-amplify-amazon-cognito-amazon-api-gateway-aws-lambda-and-amazon-opensearch-serverless/</link>
		
		<dc:creator><![CDATA[Anand Komandooru]]></dc:creator>
		<pubDate>Fri, 31 May 2024 16:12:19 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon CloudFront]]></category>
		<category><![CDATA[Amazon Cognito]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Amplify]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS WAF]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c3692d2c61819ab8a3df863b114d9d75</guid>

					<description><![CDATA[Designing a full stack search application requires addressing numerous challenges to provide a smooth and effective user experience. This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. Amazon OpenSearch Serverless […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Quickly go from Idea to PR with CodeCatalyst using Amazon Q</title>
		<link>https://noise.getoto.net/2024/04/19/quickly-go-from-idea-to-pr-with-codecatalyst-using-amazon-q/</link>
		
		<dc:creator><![CDATA[Brendan Jenkins]]></dc:creator>
		<pubDate>Fri, 19 Apr 2024 18:51:41 +0000</pubDate>
				<category><![CDATA[*Learning Levels]]></category>
		<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon CodeCatalyst]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Business Productivity]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=150d08b46442b7668b47aa3750248afc</guid>

					<description><![CDATA[Amazon Q feature development enables teams using Amazon CodeCatalyst to scale with AI to assist developers in completing everyday software development tasks. Developers can now go from an idea in an issue to a fully tested, merge-ready, running application code in a Pull Request (PR) with natural language inputs in a few clicks. Developers can […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Driving Development Forward: How the PGA TOUR speeds up Development with the AWS CDK</title>
		<link>https://noise.getoto.net/2024/03/17/driving-development-forward-how-the-pga-tour-speeds-up-development-with-the-aws-cdk/</link>
		
		<dc:creator><![CDATA[Evgeny Karasik]]></dc:creator>
		<pubDate>Sun, 17 Mar 2024 09:32:48 +0000</pubDate>
				<category><![CDATA[AWS CDK]]></category>
		<category><![CDATA[AWS Cloud Development Kit]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=5c18980882751de829e2a100a05ffe16</guid>

					<description><![CDATA[This post is written by Jeff Kammerer, Senior Solutions Architect. The PGA TOUR is the world’s premier membership organization for touring professional golfers, co-sanctioning tournaments on the PGA TOUR along with several other developmental, senior, and international tournament series. The PGA TOUR is passionate about bringing its fans closer to the players, tournaments, and courses. […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg</title>
		<link>https://noise.getoto.net/2024/03/04/use-aws-glue-etl-to-perform-merge-partition-evolution-and-schema-evolution-on-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Satyanarayana Adimula]]></dc:creator>
		<pubDate>Mon, 04 Mar 2024 20:22:21 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Experience-Based Acceleration]]></category>
		<category><![CDATA[Expert (400)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ab63338866c2de035da5151493144aaf</guid>

					<description><![CDATA[As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. However, altering schema and table partitions in traditional data lakes can be a disruptive and time-consuming task, requiring renaming or recreating entire tables and reprocessing large datasets. […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 62/325 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2025-12-08 12:53:10 by W3 Total Cache
-->