Matillion ETL 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 external Amazon Aurora PostgreSQL database or 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 on-premises and cloud 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.
For architectural details, best practices, step-by-step instructions, and customization options, see the deployment guide.
To post feedback, submit feature ideas, or report bugs, use the Issues section of this GitHub repo.
If you'd like to submit code for this Quick Start, please review the AWS Quick Start Contributor's Kit.