- Produces modeled tables that leverage Netsuite data from Fivetran’s connector in the format described by this ERD and builds off the output of our Netsuite source package.
- Enables users to insights into their netsuite data that can be used for financial statement reporting and deeper transactional analysis. This is achieved by the following:
- Recreating both the balance sheet and income statement
- Recreating commonly used data by using the transaction lines as the base table and joining other data
- Generates a comprehensive data dictionary of your source and modeled Netsuite data through the dbt docs site.
The following table provides a detailed list of all models materialized within this package by default.
TIP: See more details about these models in the package’s dbt docs site.
|netsuite__transaction_details or netsuite2__transaction_details||All transactions with the associated accounting period, account and subsidiary information. Where applicable, you can also see data about the customer, location, item, vendor, and department.|
|netsuite__income_statement or netsuite2__income_statement||All transaction lines necessary to generate an income statement (converted for the appropriate exchange rate of the parent subsidiary). Department, class, and location information are included for additional reporting functionality.|
|netsuite__balance_sheet or netsuite2__balance_sheet||All transaction lines necessary to generate a balance sheet (converted for the appropriate exchange rate of the parent subsidiary). Non balance sheet transactions are categorized as either Retained Earnings or Net Income.|
Step 1: Prerequisiteslink
To use this dbt package, you must have At least either one Fivetran Netsuite (netsuite.com) or Netsuite2 (netsuite2) connector syncing the respective tables to your destination:
This package is compatible with either a BigQuery, Snowflake, Redshift, or PostgreSQL destination.
Step 2: Install the packagelink
Include the following netsuite package version in your
packages: - package: fivetran/netsuite version: [">=0.6.0", "<0.7.0"]
Step 3: Define Netsuite.com or Netsuite2 Source
As of April 2022 Fivetran made available a new Netsuite connector which leverages the Netsuite2 endpoint opposed to the original Netsuite.com endpoint. This package is designed to run for either or, not both. By default the
netsuite_data_model variable for this package is set to the original
netsuite value which runs the netsuite.com version of the package. If you would like to run the package on Netsuite2 data, you may adjust the
netsuite_data_model variable to run the
netsuite2 version of the package.
vars: netsuite_data_model: netsuite2
Step 4: Define database and schema variableslink
By default, this package runs using your destination and the
netsuite schema. If this is not where your Netsuite data is (for example, if your netsuite schema is named
netsuite_fivetran), add the following configuration to your root
vars: netsuite_database: your_destination_name netsuite_schema: your_schema_name
(Optional) Step 5: Additional configurationslink
Passing Through Additional Fieldslink
This package includes all source columns defined in the macros folder. To add additional columns to this package, do so by adding our pass-through column variables to your
vars: accounts_pass_through_columns: - name: "new_custom_field" alias: "custom_field" classes_pass_through_columns: - name: "this_field" departments_pass_through_columns: - name: "unique_string_field" alias: "field_id" transform_sql: "cast(field_id as string)" transactions_pass_through_columns: - name: "that_field" transaction_lines_pass_through_columns: - name: "other_id" alias: "another_id" transform_sql: "cast(another_id as int64)" customers_pass_through_columns: - name: "customer_custom_field" alias: "customer_field" locations_pass_through_columns: - name: "location_custom_field" subsidiaries_pass_through_columns: - name: "sub_field" alias: "subsidiary_field" consolidated_exchange_rates_pass_through_columns: - name: "consolidate_this_field"
Passing Through Transaction Detail Fieldslink
Additionally, this package allows users to pass columns from the
netsuite__transaction_details table into
netsuite__income_statement tables. See below for an example
of how to passthrough transaction detail columns into the respective balance sheet and income statement final tables
vars: balance_sheet_transaction_detail_columns: ['company_name','vendor_name'] income_statement_transaction_detail_columns: ['is_account_intercompany','location_name']
Change the build schemalink
By default, this package builds the Netsuite staging models within a schema titled (
_netsuite_source) and your Netsuite modeling models within a schema titled (
_netsuite) in your destination. If this is not where you would like your Netsuite data to be written to, add the following configuration to your root
models: netsuite_source: +schema: my_new_schema_name # leave blank for just the target_schema netsuite: +schema: my_new_schema_name # leave blank for just the target_schema
Change the source table referenceslink
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:
IMPORTANT: See this project’s
dbt_project.ymlvariable declarations to see the expected names.
vars: # For all Netsuite source tables netsuite_<default_source_table_name>_identifier: your_table_name # For all Netsuite2 source tables netsuite2_<default_source_table_name>_identifier: your_table_name
(Optional) Step 5: Orchestrate your models with Fivetran Transformations for dbt Core™link
Fivetran offers the ability for you to orchestrate your dbt project through Fivetran Transformations for dbt Core™. Learn how to set up your project for orchestration through Fivetran in our Transformations for dbt Core setup guides.
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 site.
IMPORTANT: If you have any of these dependent packages in your own
packages.ymlfile, we highly recommend that you remove them from your root
packages.ymlto avoid package version conflicts.
packages: - package: fivetran/netsuite_source version: [">=0.5.0", "<0.6.0"] - package: fivetran/fivetran_utils version: [">=0.3.0", "<0.4.0"] - package: dbt-labs/dbt_utils version: [">=0.8.0", "<0.9.0"]
The Fivetran team maintaining this package only maintains the latest version of the package. We highly recommend you stay consistent with the latest version of the package and refer to the CHANGELOG and release notes for more information on changes across versions.
A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions!
We highly encourage and welcome contributions to this package. Check out this dbt Discourse article on the best workflow for contributing to a package!
- If you have questions or want to reach out for help, please refer to the GitHub Issue section to find the right avenue of support for you.
- 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.
- Have questions or want to just say hi? Book a time during our office hours on Calendly or email us at firstname.lastname@example.org.