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dbt_bing_ads's Introduction

Bing Ads

This package models Bing Ads data from Fivetran's connector. It uses data in the format described by this ERD.

The main focus of the package is to transform the core ad object tables into analytics-ready models, including an 'ad adapter' model that can be easily unioned in to other ad platform packages to get a single-view.

Models

This package contains transformation models, designed to work simultaneously with our Bing Ads source package. A depenedency on the source package is declared in this package's packages.yml file, so it will automatically download when you run dbt deps. The primary outputs of this package are described below.

model description
bing_ads__ad_adapter Each record represents the daily ad performance of each ad, including information about the used UTM parameters.
bing_ads__account_report Each record represents the daily ad performance of each account.
bing_ads__ad_group_report Each record represents the daily ad performance of each ad group.
bing_ads__campaign_report Each record represents the daily ad performance of each campaign.

Installation Instructions

Check dbt Hub for the latest installation instructions, or read the dbt docs for more information on installing packages.

Configuration

By default this package will look for your Bing Ads data in the bing_ads schema of your target database. If this is not where your Bing Ads data is, please add the following configuration to your dbt_project.yml file:

# dbt_project.yml

...
config-version: 2

vars:
    bing_ads_schema: your_database_name
    bing_ads_database: your_schema_name

For additional configurations for the source models, please visit the Bing Ads source package.

Contributions

Additional contributions to this package are very welcome! Please create issues or open PRs against master. Check out this post on the best workflow for contributing to a package.

Resources:

  • Provide feedback on our existing dbt packages or what you'd like to see next
  • Learn more about Fivetran here
  • Check out Fivetran's blog
  • Learn more about dbt in the docs
  • Check out Discourse for commonly asked questions and answers
  • Join the chat on Slack for live discussions and support
  • Find dbt events near you
  • Check out the blog for the latest news on dbt's development and best practices

dbt_bing_ads's People

Contributors

dylanbaker avatar

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