AWS has announced that dbt adapter for Amazon Athena is now officially supported in dbt Cloud to enhance the overall data workflow experience.
With the dbt adapter for Athena adapter now supported in dbt Cloud, you can seamlessly integrate your AWS data architecture with dbt Cloud, taking advantage of the scalability and performance of Athena to simplify and scale your data workflows efficiently.
The support of the dbt adapter for Athena in dbt Cloud offers several advantages over using it with dbt Core, including easier job scheduling, collaboration and version control, monitoring and alerting, and managed infrastructure for running dbt projects.
Common use cases for using the dbt adapter with Athena include building a data warehouse, incremental data processing, cost management and optimization, data archiving and tiered storage, and event-driven data transformations.
To get started, data teams must create a project and set up a connection with Athena in dbt Cloud and use the dbt Cloud IDE to deploy their project.
The combination of dbt and Athena creates a powerful and efficient environment for transforming and analyzing data in a serverless architecture, making it straightforward to manage complex data pipelines, reduce costs, and scale operations.
This partnership between AWS and dbt is a testament to their shared vision of making data more accessible, reliable, and valuable for organizations of all sizes.
AWS is committed to providing the best possible tools and services to help organizations succeed in the cloud, and with dbt Labs, they bring the power of dbt directly to the AWS Cloud.