Blogs

Introduction

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. As your data grows, you need to always exchange-off what data to stack into your data warehouse and what data to archive in storage so you can oversee costs, keep ETL complexity low, and deliver good performance.

This blog post is the final part of the Data Warehouse Migration to AR series. The second part of the blog post series Data Warehouse Migration to Amazon Redshift – Part 2 details on how to get started with Amazon Redshift, the business and technical benefits of using AR.