AWS Database Blog
Author: Michael Soo
Accelerate your data warehouse migration to Amazon Redshift – Part 1
In this post (the first in a multi-part series), we describe new capabilities to automate your schema conversion, preserve your investment in existing scripts, reports, and applications, accelerate query performance, and reduce your overall cost to migrate to Amazon Redshift. Check out all posts in this series: Accelerate your data warehouse migration to Amazon Redshift […]
Use virtual partitioning in the AWS Schema Conversion Tool
In this post, we look at how to use virtual partitioning to optimize your data warehouse migrations using AWS SCT. Virtual partitioning speeds up large table extraction using parallel processing. It is a recommended best practice for data warehouse migrations.
How to Use SSL with the AWS Schema Conversion Tool Data Extractors
In another blog post, we described how to use the AWS Schema Conversion Tool data extractors (AWS SCT data extractors) to migrate your legacy data warehouse to Amazon Redshift. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business […]
How to Migrate Your Data Warehouse to Amazon Redshift Using the AWS Schema Conversion Tool Data Extractors
This blog post gives you a quick overview of how you can use the AWS Schema Conversion Tool (AWS SCT) data extractors to migrate your existing data warehouse to Amazon Redshift. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using your existing business intelligence […]