Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[dagster-fivetran][docs] Add setup env section in Fivetran docs #26486

Merged
merged 1 commit into from
Dec 16, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 8 additions & 0 deletions docs/content/integrations/fivetran/fivetran.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,14 @@ This guide provides instructions for using Dagster with Fivetran using the `dags

</details>

## Set up your environment

To get started, you'll need to install the `dagster` and `dagster-fivetran` Python packages:

```bash
pip install dagster dagster-fivetran
```

## Represent Fivetran assets in the asset graph

To load Fivetran assets into the Dagster asset graph, you must first construct a <PyObject module="dagster_fivetran" object="FivetranWorkspace" /> resource, which allows Dagster to communicate with your Fivetran workspace. You'll need to supply your account ID, API key and API secret. See [Getting Started](https://fivetran.com/docs/rest-api/getting-started) in the Fivetran REST API documentation for more information on how to create your API key and API secret.
Expand Down
8 changes: 8 additions & 0 deletions docs/docs-beta/docs/integrations/libraries/fivetran.md
Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,14 @@ This guide provides instructions for using Dagster with Fivetran using the `dags

</details>

## Set up your environment

To get started, you'll need to install the `dagster` and `dagster-fivetran` Python packages:

```bash
pip install dagster dagster-fivetran
```

## Represent Fivetran assets in the asset graph

To load Fivetran assets into the Dagster asset graph, you must first construct a <PyObject module="dagster_fivetran" object="FivetranWorkspace" /> resource, which allows Dagster to communicate with your Fivetran workspace. You'll need to supply your account ID, API key and API secret. See [Getting Started](https://fivetran.com/docs/rest-api/getting-started) in the Fivetran REST API documentation for more information on how to create your API key and API secret.
Expand Down
Loading