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	<title>AWS Database Migration Service &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
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		<title>Revenue NSW modernises analytics with AWS, enabling unified and scalable data management, processing, and access</title>
		<link>https://noise.getoto.net/2025/07/15/revenue-nsw-modernises-analytics-with-aws-enabling-unified-and-scalable-data-management-processing-and-access/</link>
		
		<dc:creator><![CDATA[Saeed Barghi]]></dc:creator>
		<pubDate>Tue, 15 Jul 2025 12:04:48 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[Revenue NSW, Australia's principal revenue management agency, successfully modernized its analytics infrastructure using AWS services. In this blog post, we show how the organization transformed its on-premises data environment into a unified, scalable cloud-based solution using Amazon Redshift, AWS Database Migration Service, Amazon AppFlow, and AWS Glue.]]></description>
		
		
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		<item>
		<title>AWS Weekly Roundup: Cloud Club Captain Applications, Formula 1®, Amazon Nova Prompt Engineering, and more (Feb 24, 2025)</title>
		<link>https://noise.getoto.net/2025/02/24/aws-weekly-roundup-cloud-club-captain-applications-formula-1-amazon-nova-prompt-engineering-and-more-feb-24-2025/</link>
		
		<dc:creator><![CDATA[Elizabeth Fuentes]]></dc:creator>
		<pubDate>Mon, 24 Feb 2025 19:09:06 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Amplify]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Identity and Access Management (IAM)]]></category>
		<category><![CDATA[AWS WAF]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=62c653becbabcc408b623844144d850e</guid>

					<description><![CDATA[AWS Developer Day 2025, held on February 20th, showcased how to integrate responsible generative AI into development workflows. The event featured keynotes from AWS leaders including Srini Iragavarapu, Director Generative AI Applications and Developer Experiences, Jeff Barr, Vice President of AWS Evangelism, David Nalley, Director Open Source Marketing of AWS, along with AWS Heroes and technical […]]]></description>
		
		
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		<item>
		<title>AWS Database Migration Service now automates time-intensive schema conversion tasks using generative AI</title>
		<link>https://noise.getoto.net/2024/12/01/aws-database-migration-service-now-automates-time-intensive-schema-conversion-tasks-using-generative-ai/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Sun, 01 Dec 2024 20:44:55 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[Migration]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=05af68768c50f4ac186d459104d77d9a</guid>

					<description><![CDATA[AWS DMS Schema Conversion converts up to 90% of your schema to accelerate your database migrations and reduce manual effort with the power of generative AI.]]></description>
		
		
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		<item>
		<title>Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg</title>
		<link>https://noise.getoto.net/2024/10/30/modernize-your-legacy-databases-with-aws-data-lakes-part-2-build-a-data-lake-using-aws-dms-data-on-apache-iceberg/</link>
		
		<dc:creator><![CDATA[Shaheer Mansoor]]></dc:creator>
		<pubDate>Wed, 30 Oct 2024 20:15:02 +0000</pubDate>
				<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Apache Iceberg]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Data Catalog]]></category>
		<category><![CDATA[Data Lake]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3bd27ad09e40947c19d2f0eab552f51a</guid>

					<description><![CDATA[This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake (Apache Iceberg) using AWS Glue. We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. To review the first part of the series, where we load SQL Server data into Amazon Simple Storage Service (Amazon S3) using AWS Database Migration Service (AWS DMS), see Modernize your legacy databases with AWS data lakes, Part 1: Migrate SQL Server using AWS DMS.]]></description>
		
		
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		<item>
		<title>Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift</title>
		<link>https://noise.getoto.net/2024/08/01/unlock-scalability-cost-efficiency-and-faster-insights-with-large-scale-data-migration-to-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Chanpreet Singh]]></dc:creator>
		<pubDate>Thu, 01 Aug 2024 16:20:00 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[Best practices]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=eb908ea5c154fc89f5c4137179cb69b2</guid>

					<description><![CDATA[Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. As data volumes continue to grow exponentially, traditional data warehousing solutions may struggle to keep up with the increasing demands for scalability, performance, and […]]]></description>
		
		
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		<item>
		<title>Let’s Architect! Migrating to the cloud with AWS</title>
		<link>https://noise.getoto.net/2024/06/27/lets-architect-migrating-to-the-cloud-with-aws/</link>
		
		<dc:creator><![CDATA[Federica Ciuffo]]></dc:creator>
		<pubDate>Wed, 26 Jun 2024 23:14:38 +0000</pubDate>
				<category><![CDATA[AWS Application Migration Service]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Cloud Adoption]]></category>
		<category><![CDATA[Let's Architect]]></category>
		<category><![CDATA[Migration]]></category>
		<category><![CDATA[modernization]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=325a5b181517264cb69f2f1a8aa84aa3</guid>

					<description><![CDATA[In today’s digital world, businesses are increasingly turning to the cloud for its scalability, agility, and cost-effectiveness. Migrating your data center to the cloud can be a daunting task, but with the right approach and tools, it can be a successful journey. This Let’s Architect! blog post will guide you through the process of migrating […]]]></description>
		
		
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		<item>
		<title>Simplify operational data processing in data lakes using AWS Glue and Apache Hudi</title>
		<link>https://noise.getoto.net/2023/09/13/simplify-operational-data-processing-in-data-lakes-using-aws-glue-and-apache-hudi/</link>
		
		<dc:creator><![CDATA[Ravi Itha]]></dc:creator>
		<pubDate>Wed, 13 Sep 2023 14:56:41 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon EventBridge]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Apache Hudi]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8ce6d0682672534c99de65b88ca1f7d6</guid>

					<description><![CDATA[AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started). In AWS ProServe-led customer engagements, the use cases we work on usually come with technical complexity and scalability requirements. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.]]></description>
		
		
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		<item>
		<title>Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight</title>
		<link>https://noise.getoto.net/2023/08/03/create-an-apache-hudi-based-near-real-time-transactional-data-lake-using-aws-dms-amazon-kinesis-aws-glue-streaming-etl-and-data-visualization-using-amazon-quicksight/</link>
		
		<dc:creator><![CDATA[Raj Ramasubbu]]></dc:creator>
		<pubDate>Thu, 03 Aug 2023 14:46:38 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Apache Hudi]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2f16ec3cd7a8997ae82c2010bb16db7d</guid>

					<description><![CDATA[We recently announced support for streaming extract, transform, and load (ETL) jobs in AWS Glue version 4.0, a new version of AWS Glue that accelerates data integration workloads in AWS. AWS Glue streaming ETL jobs continuously consume data from streaming sources, clean and transform the data in-flight, and make it available for analysis in seconds. AWS also offers a broad selection of services to support your needs. A database replication service such as AWS Database Migration Service (AWS DMS) can replicate the data from your source systems to Amazon Simple Storage Service (Amazon S3), which commonly hosts the storage layer of the data lake. This post demonstrates how to apply CDC changes from Amazon Relational Database Service (Amazon RDS) or other relational databases to an S3 data lake, with flexibility to denormalize, transform, and enrich the data in near-real time.]]></description>
		
		
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		<item>
		<title>Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue</title>
		<link>https://noise.getoto.net/2023/07/31/migrate-your-existing-sql-based-etl-workload-to-an-aws-serverless-etl-infrastructure-using-aws-glue/</link>
		
		<dc:creator><![CDATA[Mitesh Patel]]></dc:creator>
		<pubDate>Mon, 31 Jul 2023 18:41:23 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=cc456850d5830980d044c95d2d4d712e</guid>

					<description><![CDATA[Data has become an integral part of most companies, and the complexity of data processing is increasing rapidly with the exponential growth in the amount and variety of data. Data engineering teams are faced with the following challenges: Manipulating data to make it consumable by business users Building and improving extract, transform, and load (ETL) […]]]></description>
		
		
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		<item>
		<title>Reduce archive cost with serverless data archiving</title>
		<link>https://noise.getoto.net/2023/07/07/reduce-archive-cost-with-serverless-data-archiving/</link>
		
		<dc:creator><![CDATA[Rostislav Markov]]></dc:creator>
		<pubDate>Fri, 07 Jul 2023 14:57:21 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
		<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS DataSync]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Snowball]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=206f3201e16db69a76963dd9407f94c6</guid>

					<description><![CDATA[For regulatory reasons, decommissioning core business systems in financial services and insurance (FSI) markets requires data to remain accessible years after the application is retired. Traditionally, FSI companies either outsourced data archiving to third-party service providers, which maintained application replicas, or purchased vendor software to query and visualize archival data. In this blog post, we […]]]></description>
		
		
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		<item>
		<title>New – AWS DMS Serverless: Automatically Provisions and Scales Capacity for Migration and Data Replication</title>
		<link>https://noise.getoto.net/2023/06/02/new-aws-dms-serverless-automatically-provisions-and-scales-capacity-for-migration-and-data-replication/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Thu, 01 Jun 2023 23:05:26 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[Migration & Transfer Services]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2971f7fdd0a2de421956950025e810ae</guid>

					<description><![CDATA[With the vast amount of data being created today, organizations are moving to the cloud to take advantage of the security, reliability, and performance of fully managed database services. To facilitate database and analytics migrations, you can use AWS Database Migration Service (AWS DMS). First launched in 2016, AWS DMS offers a simple migration process […]]]></description>
		
		
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		<item>
		<title>AWS Week in Review – March 20, 2023</title>
		<link>https://noise.getoto.net/2023/03/21/aws-week-in-review-march-20-2023/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 21 Mar 2023 15:38:20 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon EC2 Mac instances]]></category>
		<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon GuardDuty]]></category>
		<category><![CDATA[Amazon Kendra]]></category>
		<category><![CDATA[Amazon Neptune]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Auto Scaling]]></category>
		<category><![CDATA[AWS Backup]]></category>
		<category><![CDATA[AWS Chatbot]]></category>
		<category><![CDATA[AWS Data Exchange]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Compute]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[Management Tools]]></category>
		<category><![CDATA[Migration & Transfer Services]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Public Sector]]></category>
		<category><![CDATA[Security, Identity & Compliance]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[storage]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=41c65736a354d86fd40caded95f7f0c6</guid>

					<description><![CDATA[This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and Spring is almost here! If you’re curious about AWS news from the previous seven days, I got you covered. Last Week’s Launches Here are the […]]]></description>
		
		
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		<title>New – A Fully Managed Schema Conversion in AWS Database Migration Service</title>
		<link>https://noise.getoto.net/2022/11/28/new-a-fully-managed-schema-conversion-in-aws-database-migration-service/</link>
		
		<dc:creator><![CDATA[Channy Yun]]></dc:creator>
		<pubDate>Mon, 28 Nov 2022 05:04:25 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[database]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2cf1910460d053281f2a5ea21995e873</guid>

					<description><![CDATA[Since we launched AWS Database Migration Service (AWS DMS) in 2016, customers have securely migrated more than 800,000 databases to AWS with minimal downtime. AWS DMS supports migration between 20+ database and analytics engines, such as Oracle to Amazon Aurora MySQL, MySQL to Amazon Relational Database (Amazon RDS) MySQL, Microsoft SQL Server to Amazon Aurora […]]]></description>
		
		
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		<title>Convert Oracle XML BLOB data to JSON using Amazon EMR and load to Amazon Redshift</title>
		<link>https://noise.getoto.net/2022/08/29/convert-oracle-xml-blob-data-to-json-using-amazon-emr-and-load-to-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Abhilash Nagilla]]></dc:creator>
		<pubDate>Mon, 29 Aug 2022 17:35:06 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b84774f3001ea98a28b22321330f3d21</guid>

					<description><![CDATA[In legacy relational database management systems, data is stored in several complex data types, such XML, JSON, BLOB, or CLOB. This data might contain valuable information that is often difficult to transform into insights, so you might be looking for ways to load and use this data in a modern cloud data warehouse such as […]]]></description>
		
		
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		<title>Stream change data to Amazon Kinesis Data Streams with AWS DMS</title>
		<link>https://noise.getoto.net/2022/06/23/stream-change-data-to-amazon-kinesis-data-streams-with-aws-dms/</link>
		
		<dc:creator><![CDATA[Sukhomoy Basak]]></dc:creator>
		<pubDate>Thu, 23 Jun 2022 16:54:26 +0000</pubDate>
				<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[Kinesis Data Streams]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=7ddaa82bb964cd766d665a11207f7c13</guid>

					<description><![CDATA[In this post, we discuss how to use AWS Database Migration Service (AWS DMS) native change data capture (CDC) capabilities to stream changes into Amazon Kinesis Data Streams. AWS DMS is a cloud service that makes it easy to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use […]]]></description>
		
		
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		<title>Modernization pathways for a legacy .NET Framework monolithic application on AWS</title>
		<link>https://noise.getoto.net/2022/05/19/modernization-pathways-for-a-legacy-net-framework-monolithic-application-on-aws/</link>
		
		<dc:creator><![CDATA[Ramakant Joshi]]></dc:creator>
		<pubDate>Thu, 19 May 2022 16:41:02 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS App2Container]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3a1b2ca3089e2086dfccc7e38f9699b8</guid>

					<description><![CDATA[Organizations aim to deliver optimal technological solutions based on their customers’ needs. Although they may be at any stage in their cloud adoption journey, businesses often end up managing and building monolithic applications. However, there are many challenges to this solution. The internal structure of a monolithic application makes it difficult for developers to maintain code. […]]]></description>
		
		
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		<title>Selecting the right database and database migration plan for your workloads</title>
		<link>https://noise.getoto.net/2022/03/28/selecting-the-right-database-and-database-migration-plan-for-your-workloads/</link>
		
		<dc:creator><![CDATA[Nikhil Anand]]></dc:creator>
		<pubDate>Mon, 28 Mar 2022 13:58:30 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon RDS Custom]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=14cfba1f2531c4a893b50d694adb5696</guid>

					<description><![CDATA[There has been a tectonic shift in the approach to hosting enterprise workloads. Companies are rapidly moving from on-premises data centers to cloud-based services. The driving factor has been the ability to innovate faster on the cloud. Your transition to cloud can be straightforward, but it does go beyond the usual ‘lift-and-shift’ approach. To start […]]]></description>
		
		
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		<title>Insights for CTOs: Part 3 – Growing your business with modern data capabilities</title>
		<link>https://noise.getoto.net/2022/03/25/insights-for-ctos-part-3-growing-your-business-with-modern-data-capabilities/</link>
		
		<dc:creator><![CDATA[Syed Jaffry]]></dc:creator>
		<pubDate>Fri, 25 Mar 2022 00:11:15 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Insights for CTOs series]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4ac1617713dc91faeba5630bb6f8e4cb</guid>

					<description><![CDATA[This post was co-wrtiten with Jonathan Hwang, head of Foundation Data Analytics at Zendesk. In my role as a Senior Solutions Architect, I have spoken to chief technology officers (CTOs) and executive leadership of large enterprises like big banks, software as a service (SaaS) businesses, mid-sized enterprises, and startups. In this 6-part series, I share […]]]></description>
		
		
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		<title>Migration updates announced at re:Invent 2021</title>
		<link>https://noise.getoto.net/2022/03/24/migration-updates-announced-at-reinvent-2021/</link>
		
		<dc:creator><![CDATA[Angélica Ortega]]></dc:creator>
		<pubDate>Thu, 24 Mar 2022 17:01:16 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Application Migration Service]]></category>
		<category><![CDATA[AWS Database Migration Service]]></category>
		<category><![CDATA[AWS Elastic Disaster Recovery (DRS)]]></category>
		<category><![CDATA[AWS Migration Hub]]></category>
		<category><![CDATA[AWS Resilience Hub]]></category>
		<category><![CDATA[Mainframe Migration]]></category>
		<category><![CDATA[MIgration Evaluator]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3e9fd370b1f8b837f4eafd4e3724a1ce</guid>

					<description><![CDATA[re:Invent is a yearly event that offers learning and networking opportunities for the global cloud computing community. 2021 marks the launch of several new features in different areas of cloud services and migration. In this blog, we’ll cover some of the most important recent announcements. AWS Mainframe Modernization (Preview) Mainframe modernization has become a necessity […]]]></description>
		
		
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		<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>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3b579828ba4259381e1c7c0b0131e396</guid>

					<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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