Shopify Connector
收藏Snowflake2025-08-01 更新2025-08-03 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZ2FVZ47RVJ
下载链接
链接失效反馈官方服务:
资源简介:
**Sync every order, customer, and product signal from Shopify straight into Snowflake—fully typed, auto-refreshing, and governed by your warehouse’s security.** The connector exposes the **78 metrics and 253 dimensions** listed in Windsor.ai’s public field reference, so you can analyse sales, lifetime value, discounts, fulfilment and more with nothing but SQL.
What the app delivers
- **Order-level commerce facts** – revenue, discounts, taxes, fulfilment status, cancellations and line items.
- **Customer-360 attributes** – spend to-date, orders-count, tags, state and verified-email flags.
- **Typed Snowflake tables** – no VARIANT blobs; ready for Looker, Tableau, Power BI or dbt.
- **100 % in-warehouse ELT** – all code runs inside Snowflake, inheriting existing RBAC and masking policies.
- **Hands-off maintenance** – OAuth refresh, historical back-fills, incremental syncs, schema evolution and retry logic handled automatically.
Set-up (≈ 5 minutes)
1. **Install** “Shopify Connector by Windsor.ai” from Snowflake Marketplace.
2. **OAuth** to the Shopify store(s) you manage.
3. **Select** the look-back window and refresh cadence (hourly, daily or custom).
4. Data lands in the database / schema you specify; Windsor.ai keeps it fresh and consistent.
**Sample tables**
**SHOPIFY_ORDERS_DAILY** — grain: *date × order*.<br/>Columns: order_id, order_created_at, order_sales_channel, order_current_total_price, order_total_price, order_currency, order_email, order_financial_status, order_updated_at.
**SHOPIFY_CUSTOMERS_DAILY** — grain: *date × customer*.<br/>Columns: customer_id, customer_email, customer_first_name, customer_last_name, customer_created_at, customer_total_spent, customer_orders_count, customer_state.
提供机构:
Windsor.ai
创建时间:
2025-07-28
原始信息汇总
Shopify Connector 数据集概述
数据集基本信息
- 提供商: Windsor.ai
- 访问权限: 免费
- 访问类型: 无限访问
- 主要功能: 将Shopify数据同步至Snowflake,包含订单、客户和产品信号
数据集内容
- 指标数量: 78个
- 维度数量: 253个
- 数据类型: 完全类型化,非VARIANT blobs
- 同步方式: 自动刷新,历史回填,增量同步
主要表结构
SHOPIFY_ORDERS_DAILY
- 粒度: 日期 × 订单
- 列: order_id, order_created_at, order_sales_channel, order_current_total_price, order_total_price, order_currency, order_email, order_financial_status, order_updated_at
SHOPIFY_CUSTOMERS_DAILY
- 粒度: 日期 × 客户
- 列: customer_id, customer_email, customer_first_name, customer_last_name, customer_created_at, customer_total_spent, customer_orders_count, customer_state
业务需求
- 实时收入与平均订单价值跟踪
- 客户生命周期价值分析
- 归因分析
安全特性
- 安全审查: 已完成Snowflake安全审查
- 访问控制: 基于角色的访问控制(RBAC)
- 数据保护: 继承现有RBAC和掩码策略
设置步骤
- 从Snowflake Marketplace安装“Shopify Connector by Windsor.ai”
- 对管理的Shopify商店进行OAuth授权
- 选择回看窗口和刷新频率(每小时、每天或自定义)
- 数据将落地到指定的数据库/模式中,由Windsor.ai保持数据新鲜和一致
提供商其他产品
- Instagram Connector
- HubSpot Connector
- LinkedIn Ads Connector
- LinkedIn Pages Connector
- Google Search Console Connector
- TikTok Organic Connector
支持与联系
- 销售: hello@windsor.ai
- 支持: https://support.windsor.ai/
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集将Shopify的订单、客户和产品数据同步至Snowflake,包含78个指标和253个维度,支持完整的商业分析。它提供自动刷新、类型化表和仓库内ELT处理,安装配置仅需5分钟即可完成。
以上内容由遇见数据集搜集并总结生成



