Use dbt Redshift with the Matatika platform in minutes.
dbt Redshift is a data transformation tool for analysts and engineers.
dbt Redshift allows users to transform and model data in their Redshift data warehouse using SQL and Jinja, making it easier to manage and maintain data pipelines. It provides a modular and version-controlled approach to data transformation, allowing teams to collaborate and iterate on data models. With dbt Redshift, users can create and manage complex data transformations, automate data pipelines, and ensure data accuracy and consistency.
Whether to skip pre-invoke checks
The type of dbt profile being used
The directory where the dbt project is located
The directory where the dbt profiles are located
The method used for authentication
The ID of the Redshift cluster
The hostname or IP address of the Redshift cluster
The password for the Redshift cluster
The username for the Redshift cluster
The port number for the Redshift cluster
The name of the Redshift database
The name of the Redshift schema
The name of the AWS IAM profile to use for authentication
The duration of the AWS IAM session in seconds
Whether to automatically create the Redshift schema if it does not exist
The database groups to use for the Redshift cluster
The number of seconds to wait before sending a keep-alive message
The search path to use for the Redshift cluster
The SSL mode to use for the Redshift cluster
The type of RA3 node to use for the Redshift cluster
Use dbt Redshift with your data warehouse or ours.
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