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Later, it can be combined with our Data Mart module.\n\n\n\u003Cbr>\n\n## 📝 Configuration Guide\n\nFollow the steps below to connect Custom Data with BigQuery. Once the setup is complete, your data will be automatically transferred to your BigQuery project.\n\n\u003Cbr>\n\n### 🔧 Module Setup\n\nGo to the **Collect** section in the menu > Click **Create Data Collect**.\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/a23f6a793d/step1.png)\n\n\u003Cbr>\u003Cbr>\n\nSelect **Custom Data** from the list of available integrations.\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/3e498d5218/step2.png)\n\n\u003Cbr>\u003Cbr>\n\nEnter the **Collect Name**, e.g., \"Custom Data Collect\".\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/2fadb0bb2b/step3.png)\n\n\u003Cbr>\u003Cbr>\n\nSelect **Data type**. There are 3 data types to choose from:\n\n1. Cost – cost data in a predefined schema.  \n2. Budget – budget data in a predefined schema.  \n3. Custom – custom data without any predefined schema. \n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/b3c937649a/step4.png)\n\n\u003Cbr>\u003Cbr>\n\nYou can check the schema by using **Link to template** button\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/bb84a1a92a/template.png)\n\n\u003Cbr>\u003Cbr>\n\nSelect **Data source**, you can collect data from SpreadSheet or BigQuery\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/ed03a7b165/step5.png)\n\n\u003Cbr>\u003Cbr>\n\n\n#### Spreadsheet Data Source\n\n\u003Cbr>\n\nEnter **Spreadsheet ID**\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/e9234682c8/step6.png)\n\n\u003Cbr>\u003Cbr>\n\nEnter **Spreadsheet Name**\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/95b9be99c1/step7.png)\n\n\u003Cbr>\u003Cbr>\n\nAuthorize with Google\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/f364b5cf7b/step8.png)\n\n\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/dc24d677c9/step9.png)\n\n\u003Cbr>\n\n#### BigQuery Data Source\n\n\u003Cbr>\n\nSelect **Google Cloud Project**\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/493b5275f4/step10.png)\n\n\u003Cbr>\u003Cbr>\n\nSelect **BigQuery Dataset**\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/a09bf40320/step11.png)\n\n\u003Cbr>\u003Cbr>\n\nSelect **BigQuery Table**\n\n\u003Cbr>\u003Cbr>\n\n![](https://a.storyblok.com/f/296300/1920x945/1409e22e63/step12.png)\n\n\u003Cbr>\u003Cbr>\n\n## 📊 Data Schema\n\nExpand the tables below to view the full data schema collected from Custom Data.\n\n\u003Cbr>\n\n::expandable-table\n---\ntitle: '🔎 Click to view the data schema for the custom_data (cost) table'\n---\n\n| Field Name | Mode | Type |\n| ---------- | ---- | ---- |\n| start_date | NULLABLE | DATE |\n| end_date | NULLABLE | DATE |\n| source | NULLABLE | STRING |\n| medium | NULLABLE | STRING |\n| campaign | NULLABLE | STRING |\n| content | NULLABLE | STRING |\n| keyword | NULLABLE | STRING |\n| channel_group | NULLABLE | STRING |\n| currency | NULLABLE | STRING |\n| cost | NULLABLE | FLOAT |\n| clicks | NULLABLE | INTEGER |\n| impressions | NULLABLE | INTEGER |\n::\n\n::expandable-table\n---\ntitle: '🔎 Click to view the data schema for the custom_data (budget) table'\n---\n\n| Field Name | Mode | Type |\n| ---------- | ---- | ---- |\n| start_date | NULLABLE | DATE |\n| end_date | NULLABLE | DATE |\n| channel_group | NULLABLE | STRING |\n| currency | NULLABLE | STRING |\n| budget | NULLABLE | FLOAT |\n| target_conversion | NULLABLE | FLOAT |\n| target_value | NULLABLE | FLOAT |\n::\n\n\u003Cbr>\n","markdown-blok","docs-page",[225],{"_uid":226,"name":227,"content":228,"component":229},"e7f5b5c8-8b83-4ebe-9f5a-cdbd91be0826","description","Learn how to transfer custom data, such as costs or budgets, from Google Sheets or BigQuery to Google BigQuery using WitCloud. 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