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Fixed link #120

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May 13, 2024
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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -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™
<details><summary>Expand for details</summary>
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2 changes: 1 addition & 1 deletion integration_tests/requirements.txt
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Expand Up @@ -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
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