AWS Big Data Blog

Category: AWS Schema Conversion Tool

Accelerate Snowflake to Amazon Redshift migration using AWS Schema Conversion Tool

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 […]

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What to consider when migrating data warehouse to Amazon Redshift

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 […]

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Accelerate your data warehouse migration to Amazon Redshift – Part 2

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 all posts in this series: Accelerate your data […]

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How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime

In this article, we explain how this customer performed a large-scale data warehouse migration from IBM Netezza to Amazon Redshift without downtime, by following a thoroughly planned migration process, and leveraging AWS Schema Conversion Tool (SCT) and Amazon Redshift best practices.

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