New Quick Start deploys Matillion ETL for Amazon Redshift on AWS
This Quick Start deploys Matillion ETL for Amazon Redshift on the Amazon Web Services (AWS) Cloud in either a single instance with an Amazon Aurora database or a high availability (HA) cluster in about 20 minutes, following AWS best practices.
This Quick Start deploys Matillion ETL for Amazon Redshift on the Amazon Web Services (AWS) Cloud in either a single instance with an Amazon Aurora database or a high availability (HA) cluster in about 20 minutes, following AWS best practices.
Matillion ETL for Amazon Redshift is an extract, transform, and load/extract, load, and transform (ETL/ELT) tool that automates data loads and transformations for greater speed, scale, and savings in the enterprise.
You can load data into Amazon Redshift from data sources such as cloud and on-premises databases, cloud and software as a service (SaaS) applications, application programming interfaces (APIs), files, and NoSQL databases. After your data is available in Amazon Redshift, you can combine transformation components in Matillion ETL to build complex data transformations for visualizations, business intelligence, reporting, and advanced analytics.
To get started:
- View the architecture and details
- View the deployment guide for instructions
- Download the AWS Cloudformation templates that automate the deployment
For additional AWS Quick Start reference deployments, see our catalog.
Quick Starts are automated reference deployments that use AWS CloudFormation templates to deploy key technologies on AWS, following AWS best practices.
This Quick Start was built by Matillion in collaboration with AWS solutions architects. Matillion is an AWS Partner Network (APN) Partner.
Modified 8/25/2021 – In an effort to ensure a great experience, expired links in this post have been updated or removed from the original post.