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	<title>AWS Data Lab &#8211; Noise</title>
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		<title>How Zoom implemented streaming log ingestion and efficient GDPR deletes using Apache Hudi on Amazon EMR</title>
		<link>https://noise.getoto.net/2023/05/16/how-zoom-implemented-streaming-log-ingestion-and-efficient-gdpr-deletes-using-apache-hudi-on-amazon-emr/</link>
		
		<dc:creator><![CDATA[Sekar Srinivasan]]></dc:creator>
		<pubDate>Tue, 16 May 2023 16:59:43 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Case Study]]></category>
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		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In today’s digital age, logging is a critical aspect of application development and management, but efficiently managing logs while complying with data protection regulations can be a significant challenge. Zoom, in collaboration with the AWS Data Lab team, developed an innovative architecture to overcome these challenges and streamline their logging and record deletion processes. In […]]]></description>
		
		
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		<title>How Encored Technologies built serverless event-driven data pipelines with AWS</title>
		<link>https://noise.getoto.net/2023/05/04/how-encored-technologies-built-serverless-event-driven-data-pipelines-with-aws/</link>
		
		<dc:creator><![CDATA[Younggu Yun]]></dc:creator>
		<pubDate>Thu, 04 May 2023 20:32:10 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Customer Enablement]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This post is a guest post co-written with SeonJeong Lee, JaeRyun Yim, and HyeonSeok Yang from Encored Technologies. Encored Technologies (Encored) is an energy IT company in Korea that helps their customers generate higher revenue and reduce operational costs in renewable energy industries by providing various AI-based solutions. Encored develops machine learning (ML) applications predicting […]]]></description>
		
		
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		<item>
		<title>How Huron built an Amazon QuickSight Asset Catalogue with AWS CDK Based Deployment Pipeline</title>
		<link>https://noise.getoto.net/2023/04/26/how-huron-built-an-amazon-quicksight-asset-catalogue-with-aws-cdk-based-deployment-pipeline/</link>
		
		<dc:creator><![CDATA[Corey Johnson]]></dc:creator>
		<pubDate>Wed, 26 Apr 2023 18:23:04 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS CloudFormation]]></category>
		<category><![CDATA[AWS CodeBuild]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Professional Services]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This is a guest blog post co-written with Corey Johnson from Huron. Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. It helps engineers, […]]]></description>
		
		
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		<title>How CyberSolutions built a scalable data pipeline using Amazon EMR Serverless and the AWS Data Lab</title>
		<link>https://noise.getoto.net/2023/04/17/how-cybersolutions-built-a-scalable-data-pipeline-using-amazon-emr-serverless-and-the-aws-data-lab/</link>
		
		<dc:creator><![CDATA[Constantin Scoarță]]></dc:creator>
		<pubDate>Mon, 17 Apr 2023 20:01:50 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[EMR Serverless]]></category>
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					<description><![CDATA[This post is co-written by Constantin Scoarță and Horațiu Măiereanu from CyberSolutions Tech. CyberSolutions is one of the leading ecommerce enablers in Germany. We design, implement, maintain, and optimize award-winning ecommerce platforms end to end. Our solutions are based on best-in-class software like SAP Hybris and Adobe Experience Manager, and complemented by unique services that […]]]></description>
		
		
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		<title>How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift</title>
		<link>https://noise.getoto.net/2023/03/03/how-tricentis-unlocks-insights-across-the-software-development-lifecycle-at-speed-and-scale-using-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Parag Doshi]]></dc:creator>
		<pubDate>Fri, 03 Mar 2023 17:41:38 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[This is a guest post co-written with Parag Doshi, Guru Havanur, and Simon Guindon from Tricentis. Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more […]]]></description>
		
		
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		<item>
		<title>How SikSin improved customer engagement with AWS Data Lab and Amazon Personalize</title>
		<link>https://noise.getoto.net/2023/01/25/how-siksin-improved-customer-engagement-with-aws-data-lab-and-amazon-personalize/</link>
		
		<dc:creator><![CDATA[Byungjun Choi]]></dc:creator>
		<pubDate>Wed, 25 Jan 2023 16:23:30 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Personalize]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[startup]]></category>
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					<description><![CDATA[This post is co-written with Byungjun Choi and Sangha Yang from SikSin. SikSin is a technology platform connecting customers with restaurant partners serving their multiple needs. Customers use the SikSin platform to search and discover restaurants, read and write reviews, and view photos. From the restaurateurs’ perspective, SikSin enables restaurant partners to engage and acquire […]]]></description>
		
		
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		<title>How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control</title>
		<link>https://noise.getoto.net/2022/11/10/how-socar-built-a-streaming-data-pipeline-to-process-iot-data-for-real-time-analytics-and-control/</link>
		
		<dc:creator><![CDATA[DoYeun Kim]]></dc:creator>
		<pubDate>Thu, 10 Nov 2022 17:01:27 +0000</pubDate>
				<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[AWS IoT Core]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Data Lab]]></category>
		<category><![CDATA[Fleet Management System]]></category>
		<category><![CDATA[FMS]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Socar]]></category>
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					<description><![CDATA[SOCAR is the leading Korean mobility company with strong competitiveness in car-sharing. SOCAR has become a comprehensive mobility platform in collaboration with Nine2One, an e-bike sharing service, and Modu Company, an online parking platform. Backed by advanced technology and data, SOCAR solves mobility-related social problems, such as parking difficulties and traffic congestion, and changes the […]]]></description>
		
		
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		<item>
		<title>How a blockchain startup built a prototype solution to solve the need of analytics for decentralized applications with AWS Data Lab</title>
		<link>https://noise.getoto.net/2022/10/24/how-a-blockchain-startup-built-a-prototype-solution-to-solve-the-need-of-analytics-for-decentralized-applications-with-aws-data-lab/</link>
		
		<dc:creator><![CDATA[Dr. Quan Hoang Nguyen]]></dc:creator>
		<pubDate>Mon, 24 Oct 2022 19:38:52 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[blockchain]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Fantom]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Kinesis Data Firehose]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Web3]]></category>
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					<description><![CDATA[This post is co-written with Dr. Quan Hoang Nguyen, CTO at Fantom Foundation. Here at Fantom Foundation (Fantom), we have developed a high performance, highly scalable, and secure smart contract platform. It’s designed to overcome limitations of the previous generation of blockchain platforms. The Fantom platform is permissionless, decentralized, and open source. The majority of […]]]></description>
		
		
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		<item>
		<title>How AWS Data Lab helped BMW Financial Services design and build a multi-account modern data architecture</title>
		<link>https://noise.getoto.net/2022/09/27/how-aws-data-lab-helped-bmw-financial-services-design-and-build-a-multi-account-modern-data-architecture/</link>
		
		<dc:creator><![CDATA[Rahul Shaurya]]></dc:creator>
		<pubDate>Tue, 27 Sep 2022 17:09:03 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Financial Services]]></category>
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					<description><![CDATA[This post is co-written by Martin Zoellner, Thomas Ehrlich and Veronika Bogusch from BMW Group. BMW Group and AWS announced a comprehensive strategic collaboration in 2020. The goal of the collaboration is to further accelerate BMW Group’s pace of innovation by placing data and analytics at the center of its decision-making. A key element of […]]]></description>
		
		
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		<title>Introducing Embedded Analytics Data Lab to accelerate integration of Amazon QuickSight analytics into applications</title>
		<link>https://noise.getoto.net/2022/07/12/introducing-embedded-analytics-data-lab-to-accelerate-integration-of-amazon-quicksight-analytics-into-applications/</link>
		
		<dc:creator><![CDATA[Romit Girdhar]]></dc:creator>
		<pubDate>Tue, 12 Jul 2022 20:13:44 +0000</pubDate>
				<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
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					<description><![CDATA[We are excited to announce Embedded Analytics Data Lab (EADL), a no-cost collaborative engagement that helps engineering and development teams cut down time required to launch applications with embedded analytics from Amazon QuickSight in production by providing hands-on guidance and architectural best practices. Embedding rich analytics such as interactive visuals and dashboards directly into applications […]]]></description>
		
		
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		<item>
		<title>How the Georgia Data Analytics Center built a cloud analytics solution from scratch with the AWS Data Lab</title>
		<link>https://noise.getoto.net/2022/03/02/how-the-georgia-data-analytics-center-built-a-cloud-analytics-solution-from-scratch-with-the-aws-data-lab/</link>
		
		<dc:creator><![CDATA[Kanti Chalasani]]></dc:creator>
		<pubDate>Wed, 02 Mar 2022 20:14:15 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[AWS Transfer Family]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[storage]]></category>
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					<description><![CDATA[This is a guest post by Kanti Chalasani, Division Director at Georgia Data Analytics Center (GDAC). GDAC is housed within the Georgia Office of Planning and Budget to facilitate governed data sharing between various state agencies and departments. The Office of Planning and Budget (OPB) established the Georgia Data Analytics Center (GDAC) with the intent […]]]></description>
		
		
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		<item>
		<title>Design and build a Data Vault model in Amazon Redshift from a transactional database</title>
		<link>https://noise.getoto.net/2021/11/18/design-and-build-a-data-vault-model-in-amazon-redshift-from-a-transactional-database/</link>
		
		<dc:creator><![CDATA[George Komninos]]></dc:creator>
		<pubDate>Thu, 18 Nov 2021 17:29:07 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Data Lab]]></category>
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					<description><![CDATA[Building a highly performant data model for an enterprise data warehouse (EDW) has historically involved significant design, development, administration, and operational effort. Furthermore, the data model must be agile and adaptable to change while handling the largest volumes of data efficiently. Data Vault is a methodology for delivering project design and implementation to accelerate the […]]]></description>
		
		
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