diff --git a/README.md b/README.md index 5360e6f..fb64fbe 100644 --- a/README.md +++ b/README.md @@ -265,7 +265,7 @@ models: ## (Optional) Step 7: Produce Analytics-Ready Reports with Streamlit App (Bigquery and Snowflake users only) For those who want to take their reports a step further, our team has created the [Fivetran Netsuite Streamlit App](https://fivetran-netsuite.streamlit.app/) to generate end model visualizations based off of the reports we created in this package. This way you can replicate much of the reporting you see internally in Netsuite and automate a lot of the work needed to report on your core metrics. -[We recommend following the instructions here](https://github.com/fivetran/streamlit_netsuite) to fork the app for your own data and create end reports leveraging our Netsuite models. You can see a sample version of [these reports here]((https://fivetran-netsuite.streamlit.app/)). +[We recommend following the instructions here](https://github.com/fivetran/streamlit_netsuite) to fork the app for your own data and create end reports leveraging our Netsuite models. You can see a sample version of [these reports here](https://fivetran-netsuite.streamlit.app/). ## (Optional) Step 8: Orchestrate your models with Fivetran Transformations for dbt Core™
Expand for details diff --git a/integration_tests/requirements.txt b/integration_tests/requirements.txt index 87ae0f9..d0d0c70 100644 --- a/integration_tests/requirements.txt +++ b/integration_tests/requirements.txt @@ -3,5 +3,5 @@ dbt-bigquery>=1.3.0,<2.0.0 dbt-redshift>=1.3.0,<2.0.0 dbt-postgres>=1.3.0,<2.0.0 dbt-spark>=1.3.0,<2.0.0 -dbt-spark[PyHive]>=1.3.0,<2.0.0 +dbt-spark[PyHive]>=1.3.0,<1.8.0 dbt-databricks>=1.3.0,<2.0.0 \ No newline at end of file