Category: Amazon Redshift

In this post, we learn how to stream data from Amazon DocumentDB (with MongoDB compatibility) to Amazon Redshift, unlocking near-real-time analytics and insights. We cover using Amazon DocumentDB change streams and Amazon Redshift streaming ingestion, along with AWS Lambda and Amazon Kinesis Data Streams. We also provide an AWS CloudFormation template for easy deployment of […]

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 […]

The AWS Schema Conversion Tool (AWS SCT) makes heterogeneous database migrations more predictable by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. To help with migration of on-premises data warehouses to Amazon Redshift, the new version of AWS SCT adds the following important […]

David Gardner is a solutions architect and Pratim Das is a specialist solutions architect for Analytics at Amazon Web Services. Teradata provides long-standing data warehouse solutions, with many customers and applications running on its platforms. As companies migrate to the cloud, they are using Amazon Redshift as part of their cloud adoption. Recently AWS announced […]

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 […]