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	<title>AWS Schema Conversion Tool &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
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		<title>Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT</title>
		<link>https://noise.getoto.net/2023/10/18/migrate-microsoft-azure-synapse-analytics-to-amazon-redshift-using-aws-sct/</link>
		
		<dc:creator><![CDATA[Ahmed Shehata]]></dc:creator>
		<pubDate>Wed, 18 Oct 2023 16:31:15 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[Enterprise Strategy*]]></category>
		<category><![CDATA[Migration]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we show how to migrate a data warehouse from Microsoft Azure Synapse to Redshift Serverless using AWS Schema Conversion Tool (AWS SCT) and AWS SCT data extraction agents. AWS SCT makes heterogeneous database migrations predictable by automatically converting the source database code and storage objects to a format compatible with the target database.]]></description>
		
		
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		<title>Accelerate your data warehouse migration to Amazon Redshift – Part 7</title>
		<link>https://noise.getoto.net/2023/10/17/accelerate-your-data-warehouse-migration-to-amazon-redshift-part-7/</link>
		
		<dc:creator><![CDATA[Mykhailo Kondak]]></dc:creator>
		<pubDate>Tue, 17 Oct 2023 17:55:17 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[In this post, we describe at a high-level how CDC tasks work in AWS SCT. Then we deep dive into an example of how to configure, start, and manage a CDC migration task. We look briefly at performance and how you can tune a CDC migration, and then conclude with some information about how you can get started on your own migration.]]></description>
		
		
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		<item>
		<title>Migrate Google BigQuery to Amazon Redshift using AWS Schema Conversion tool (SCT)</title>
		<link>https://noise.getoto.net/2022/12/14/migrate-google-bigquery-to-amazon-redshift-using-aws-schema-conversion-tool-sct/</link>
		
		<dc:creator><![CDATA[Jagadish Kumar]]></dc:creator>
		<pubDate>Wed, 14 Dec 2022 20:15:18 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[Google BigQuery]]></category>
		<category><![CDATA[Migration]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=7135d5f7464416ee2288712828ae6080</guid>

					<description><![CDATA[Amazon Redshift is a fast, fully-managed, petabyte scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Using Amazon Redshift Serverless and Query Editor v2, you can load and query large datasets in just a few clicks and pay only for what you use. The decoupled compute and […]]]></description>
		
		
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		<item>
		<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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			</item>
		<item>
		<title>Accelerate your data warehouse migration to Amazon Redshift – Part 6</title>
		<link>https://noise.getoto.net/2022/07/28/accelerate-your-data-warehouse-migration-to-amazon-redshift-part-6/</link>
		
		<dc:creator><![CDATA[Michael Soo]]></dc:creator>
		<pubDate>Thu, 28 Jul 2022 15:57:46 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=db281436b4b235c21c0441c24d568c99</guid>

					<description><![CDATA[This is the sixth in a series of posts. We’re excited to share dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and potentially simplify your migrations from legacy data warehouses to Amazon Redshift. Check out all the previous posts in this series: […]]]></description>
		
		
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			</item>
		<item>
		<title>Migrate a large data warehouse from Greenplum to Amazon Redshift using AWS SCT – Part 2</title>
		<link>https://noise.getoto.net/2022/07/15/migrate-a-large-data-warehouse-from-greenplum-to-amazon-redshift-using-aws-sct-part-2/</link>
		
		<dc:creator><![CDATA[Suresh Patnam]]></dc:creator>
		<pubDate>Fri, 15 Jul 2022 18:17:52 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=a514519ac2f3567b11bb85f29b53a2a9</guid>

					<description><![CDATA[In this second post of a multi-part series, we share best practices for choosing the optimal Amazon Redshift cluster, data architecture, converting stored procedures, compatible functions and queries widely used for SQL conversions, and recommendations for optimizing the length of data types for table columns. You can check out the first post of this series […]]]></description>
		
		
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			</item>
		<item>
		<title>Migrate a large data warehouse from Greenplum to Amazon Redshift using AWS SCT – Part 1</title>
		<link>https://noise.getoto.net/2022/07/15/migrate-a-large-data-warehouse-from-greenplum-to-amazon-redshift-using-aws-sct-part-1/</link>
		
		<dc:creator><![CDATA[Suresh Patnam]]></dc:creator>
		<pubDate>Fri, 15 Jul 2022 18:16:58 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=6794106187df5ca474c2de32e976bc2b</guid>

					<description><![CDATA[A data warehouse collects and consolidates data from various sources within your organization. It’s used as a centralized data repository for analytics and business intelligence. When working with on-premises legacy data warehouses, scaling the size of your data warehouse or improving performance can mean purchasing new hardware or adding more powerful hardware. This is often […]]]></description>
		
		
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		<item>
		<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>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Accelerate Snowflake to Amazon Redshift migration using AWS Schema Conversion Tool</title>
		<link>https://noise.getoto.net/2022/04/12/accelerate-snowflake-to-amazon-redshift-migration-using-aws-schema-conversion-tool/</link>
		
		<dc:creator><![CDATA[BP Yau]]></dc:creator>
		<pubDate>Tue, 12 Apr 2022 15:39:06 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e8cd2f806d9efe654be6ee96c7f62095</guid>

					<description><![CDATA[Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Today, tens of thousands of AWS customers—from Fortune […]]]></description>
		
		
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			</item>
		<item>
		<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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			</item>
		<item>
		<title>What to consider when migrating data warehouse to Amazon Redshift</title>
		<link>https://noise.getoto.net/2022/03/24/what-to-consider-when-migrating-data-warehouse-to-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Lewis Tang]]></dc:creator>
		<pubDate>Thu, 24 Mar 2022 19:51:07 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[Best practices]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=85e7a6d1c54c22abefebb88c7c13d3d9</guid>

					<description><![CDATA[Customers are migrating data warehouses to Amazon Redshift because it’s fast, scalable, and cost-effective. However, data warehouse migration projects can be complex and challenging. In this post, I help you understand the common drivers of data warehouse migration, migration strategies, and what tools and services are available to assist with your migration project. Let’s first […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Migrating to an Amazon Redshift Cloud Data Warehouse from Microsoft APS</title>
		<link>https://noise.getoto.net/2021/11/09/migrating-to-an-amazon-redshift-cloud-data-warehouse-from-microsoft-aps/</link>
		
		<dc:creator><![CDATA[Sudarshan Roy]]></dc:creator>
		<pubDate>Tue, 09 Nov 2021 17:13:28 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS DataSync]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[AWS Snowball Edge]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=161275c4531c3ef81dd35fda66cc2d4f</guid>

					<description><![CDATA[Before cloud data warehouses (CDWs), many organizations used hyper-converged infrastructure (HCI) for data analytics. HCIs pack storage, compute, networking, and management capabilities into a single “box” that you can plug into your data centers. However, because of its legacy architecture, an HCI is limited in how much it can scale storage and compute and continue […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Accelerate your data warehouse migration to Amazon Redshift – Part 2</title>
		<link>https://noise.getoto.net/2021/07/22/accelerate-your-data-warehouse-migration-to-amazon-redshift-part-2/</link>
		
		<dc:creator><![CDATA[Michael Soo]]></dc:creator>
		<pubDate>Thu, 22 Jul 2021 19:20:52 +0000</pubDate>
				<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[AWS Schema Conversion Tool]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=7598c8a2f6af2f0e8cfebdeb13647684</guid>

					<description><![CDATA[This is the second post in a multi-part series. We’re excited to shared dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and potentially reduce your overall cost to migrate to Amazon Redshift. Check out the first post Accelerate your data warehouse migration […]]]></description>
		
		
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