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Copy file name to clipboardExpand all lines: .github/ISSUE_TEMPLATE/bug-report.yml
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name: 🐞 Bug
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description: Report a bug or an issue you've found within the dbt package
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title: "[Bug] <title>"
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labels: ["bug", "triage"]
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labels: ["type:bug"]
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body:
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- type: markdown
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attributes:
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description: A concise description of what you expected to happen.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Possible solution
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description: Were you able to investigate and/or discover a potential fix to this bug in your investigation? If so, it would be much appreciated if you could submit code samples to show us how your fix resolved this issue.
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validations:
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required: false
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- type: textarea
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attributes:
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label: dbt Project configurations
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- other (mention it in "Additional Context")
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validations:
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required: true
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- type: dropdown
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id: orchestration_type
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attributes:
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label: How are you running this dbt package?
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multiple: true
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options:
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- Fivetran Quickstart Data Model
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- Fivetran Transformations
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- dbt Core™
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- dbt Cloud™
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- other (mention it in "Additional Context")
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validations:
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required: true
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- type: textarea
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attributes:
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label: dbt Version
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description: Our team will assess this issue and let you know if we will add it to a future sprint. However, if you would like to expedite the solution, we encourage you to contribute to the package via a PR. Our team will then work with you to approve and merge your contributions as soon as possible.
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options:
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- label: Yes.
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- label: Yes, but I will need assistance and will schedule time during our [office hours](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) for guidance
Copy file name to clipboardExpand all lines: .github/ISSUE_TEMPLATE/feature-request.yml
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name: 🎉 Feature
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description: Suggest a new feature for the Fivetran dbt package
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title: "[Feature] <title>"
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labels: ["enhancement"]
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labels: ["type:enhancement"]
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body:
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- type: markdown
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attributes:
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description: A clear and concise description of what you want to happen and why you want the new feature.
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validations:
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required: true
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- type: textarea
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attributes:
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label: How would you implement this feature?
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description: |
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How would you build out this feature with your existing data? Any code examples you can provide to help accelerate development on this issue?
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validations:
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required: true
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- type: textarea
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attributes:
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label: Describe alternatives you've considered
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description: Our team will assess this feature and let you know if we will add it to a future sprint. However, if you would like to expedite the feature, we encourage you to contribute to the package via a PR. Our team will then work with you to approve and merge your contributions as soon as possible.
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options:
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- label: Yes.
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- label: Yes, but I will need assistance and will schedule time during your [office hours](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) for guidance.
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<!--- To select a checkbox you simply need to add an "x" with no spaces between the brackets (eg. [x] Yes). -->
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-[ ] Yes
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**Provide an emoji that best describes your current mood**
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**Typically there are additional maintenance changes required before this will be ready for an upcoming release. Are you comfortable with the Fivetran team making a few commits directly to your branch?**
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<!--- If you select Yes this will help expedite your PR in case there are small changes required before approval. We encourage you not to use this branch in a production environment as we may make additional updates. -->
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<!--- If you select No, we will not make any changes directly to your branch and will either communicate any planned changes via the PR thread or will merge your PR into a separate branch so we may make changes without modifying your branch.. -->
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-[ ] Yes
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-[ ] No
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**If you had to summarize this PR in an emoji, which would it be?**
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<!--- For a complete list of markdown compatible emojis check our this git repo (https://gist.github.com/rxaviers/7360908) -->
- Materializes [Sage Intacct staging tables](https://fivetran.github.io/dbt_sage_intacct_source/#!/overview/sage_intacct_source/models/?g_v=1&g_e=seeds) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/sage-intacct#schemainformation). These staging tables clean, test, and prepare your Sage Intacct data from [Fivetran's connector](https://fivetran.com/docs/applications/sage-intacct) for analysis by doing the following:
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- Names columns for consistency across all packages and for easier analysis
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- Adds freshness tests to source data
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- Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
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- Generates a comprehensive data dictionary of your sage_intacct data through the [dbt docs site](https://fivetran.github.io/dbt_sage_intacct_source/).
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- These tables are designed to work simultaneously with our [Sage Intacct transformation package](https://github.com/fivetran/dbt_sage_intacct).
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#🎯 How do I use the dbt package?
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## Step 1: Prerequisites
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##How do I use the dbt package?
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###Step 1: Prerequisites
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To use this dbt package, you must have the following:
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- At least one Fivetran Sage Intacct connector syncing data into your destination.
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- At least one Fivetran Sage Intacct connector syncing data into your destination.
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- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.
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### Databricks Dispatch Configuration
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####Databricks Dispatch Configuration
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If you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils` packages respectively.
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```yml
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dispatch:
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- macro_namespace: dbt_utils
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search_order: ['spark_utils', 'dbt_utils']
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```
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## Step 2: Install the package (skip if also using the `sage_intacct` transformation package)
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If you are **not** using the [Sage Intacct transformation package](https://github.com/fivetran/dbt_sage_intacct), include the following sage_intacct_source package version in your `packages.yml` file.
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### Step 2: Install the package (skip if also using the `sage_intacct` transformation package)
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If you are **not** using the [Sage Intacct transformation package](https://github.com/fivetran/dbt_sage_intacct), include the following sage_intacct_source package version in your `packages.yml` file.
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> TIP: Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.
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```yaml
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packages:
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- package: fivetran/sage_intacct_source
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version: [">=0.3.0", "<0.4.0"] # we recommend using ranges to capture non-breaking changes automatically
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```
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## Step 3: Define database and schema variables
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### Step 3: Define database and schema variables
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By default, this package runs using your destination and the `sage_intacct` schema. If this is not where your Sage Intacct data is (for example, if your Sage Intacct schema is named `sage_intacct_fivetran`), add the following configuration to your root `dbt_project.yml` file:
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```yml
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vars:
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sage_intacct_database: your_database_name
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sage_intacct_schema: your_schema_name
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```
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## (Optional) Step 4: Additional configurations
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### (Optional) Step 4: Additional configurations
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### Passthrough Columns
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This package allows users to add additional columns to the `stg_sage_intacct__gl_account` table.
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#### Passthrough Columns
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This package allows users to add additional columns to the `stg_sage_intacct__gl_account` table.
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Columns passed through must be present in the upstream source tables. See below for an example of how the passthrough columns should be configured within your `dbt_project.yml` file.
When setting up your Sage Intacct connection in Fivetran, it is possible that not every table this package expects will be synced. This can occur because you either don't use that functionality in Sage or have actively decided to not sync some tables. In order to disable the relevant functionality in the package, you will need to add the relevant variables.
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```
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### Change the Build Schema
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#### Change the Build Schema
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By default, this package builds the Sage Intacct staging models within a schema titled (`<target_schema>` + `_stg_sage_intacct`) in your target database. If this is not where you would like your Sage Intacct staging data to be written to, add the following configuration to your `dbt_project.yml` file:
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```yml
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+schema: my_new_schema_name # leave blank for just the target_schema
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```
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## (Optional) Step 5: Orchestrate your models with Fivetran Transformations for dbt Core™
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### (Optional) Step 5: Orchestrate your models with Fivetran Transformations for dbt Core™
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<details><summary>Expand for more details</summary>
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Fivetran offers the ability for you to orchestrate your dbt project through [Fivetran Transformations for dbt Core™](https://fivetran.com/docs/transformations/dbt). Learn how to set up your project for orchestration through Fivetran in our [Transformations for dbt Core™ setup guides](https://fivetran.com/docs/transformations/dbt#setupguide).
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### Change the source table references
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#### Change the source table references
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If an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable:
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> IMPORTANT: See this project's [`dbt_project.yml`](https://github.com/fivetran/dbt_sage_intacct_source/blob/main/dbt_project.yml) variable declarations to see the expected names.
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</details>
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# 🙌 How is this package maintained and can I contribute?
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## Package Maintenance
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## How is this package maintained and can I contribute?
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### Package Maintenance
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The Fivetran team maintaining this package _only_ maintains the latest version of the package. We highly recommend that you stay consistent with the [latest version](https://hub.getdbt.com/fivetran/sage_intacct_source/latest/) of the package and refer to the [CHANGELOG](https://github.com/fivetran/dbt_sage_intacct_source/blob/main/CHANGELOG.md) and release notes for more information on changes across versions.
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# 🔍 Does this package have dependencies?
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This dbt package is dependent on the following dbt packages. Please be aware that these dependencies are installed by default within this package. For more information on the following packages, refer to the [dbt hub](https://hub.getdbt.com/) site.
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## Does this package have dependencies?
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This dbt package is dependent on the following dbt packages. These dependencies are installed by default within this package. For more information on the following packages, refer to the [dbt hub](https://hub.getdbt.com/) site.
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> IMPORTANT: If you have any of these dependent packages in your own `packages.yml` file, we highly recommend that you remove them from your root `packages.yml` to avoid package version conflicts.
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```yml
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packages:
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version: [">=0.3.0", "<0.4.0"]
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```
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## Contributions
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A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions!
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### Contributions
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A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions.
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We highly encourage and welcome contributions to this package. Check out [this dbt Discourse article](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) to learn how to contribute to a dbt package!
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We highly encourage and welcome contributions to this package. Check out [this dbt Discourse article](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) to learn how to contribute to a dbt package.
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# 🏪 Are there any resources available?
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- If you have questions or want to reach out for help, please refer to the [GitHub Issue](https://github.com/fivetran/dbt_sage_intacct_source/issues/new/choose) section to find the right avenue of support for you.
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- If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our [Feedback Form](https://www.surveymonkey.com/r/DQ7K7WW).
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- Have questions or want to just say hi? Book a time during our office hours [on Calendly](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) or email us at solutions@fivetran.com.
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## Are there any resources available?
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- If you have questions or want to reach out for help, see the [GitHub Issue](https://github.com/fivetran/dbt_sage_intacct_source/issues/new/choose) section to find the right avenue of support for you.
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- If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our [Feedback Form](https://www.surveymonkey.com/r/DQ7K7WW).
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