Connect Shopify to BigQuery

Windsor.ai data integration is helpful for automation of data transferring from Shopify to BigQuery. The connector works without code. Set up the connector and automatically sync data within five minutes.

Integrate Shopify to BigQuery

Why do I need Shopify and BigQuery integration?

The integration of Shopify and BigQuery supports marketing automation by leveraging dataflow features. Here are the benefits of data integration:

Automatically sync data

Integration changes how you handle data transferring. If you annually export data, the data remains significantly siloed, hindering efficient collaboration. With the integration, you automatically sync the data so that all teams have access to the updated data at all times or on schedule on a large database.

Automate reporting

Integration enables you to automate reporting. Your e-commerce performance monitoring dashboards are automated, cutting the time to insights and reducing the cost of creating marketing reports.

Make data-driven decisions

Shopify and BigQuery integration enables you to make data-driven decisions. You can view Shopify alongside other data, enabling you to make informed decisions to develop your e-commerce platform, product offerings, and sales.

Increase conversion rates

Automation of data integration supports you in increasing your conversion rates using marketing analytics from your e-commerce platform. Conversions increase because you can use data to orchestrate customer engagement through the sales funnel.

Enhance team collaboration

The other major benefit is enhanced team collaboration. By creating a single source of truth that is accessible to all your teams for decision-making, the integration of data enables higher levels of cooperation and better team results. Collaboration on data can significantly improve the perspectives of all teams about the business.

Scale Your Ecommerce Business

The integration of Shopify and BigQuery gives you unified data insights. However, the integration also serves another purpose of enabling you to grow and scale your business without restrictions of data management. You can also adjust your data resources as your business grows. The flexibility of scaling the features applies to both Shopify and BigQuery.

How to connect Shopify to BigQuery

It is very simple to connect Shopify to Google BigQuery, it can be done in a fast and easy manner with Windsor.ai.

1. Register

You need to select Shopify as a Data Source and Grant Access to Windsor.ai.

Shopify

3. Select Destination
Choose BigQuery as the destination.

select bigquery

4. Create a destination task
Click the Add Destination Task Button and fill out the necessary fields.

create bigQuery destination task

5. Sync your Data
In the final step, grant access to the user: [email protected]. That’s all!
Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.

*Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.

FAQs

Which data can be transferred from Shopify to BigQuery?

When integrating Shopify with BigQuery, you can move a variety of data from Shopify to BigQuery to analyze and work with. Here are some examples of the data you can move:

Orders: Information about orders placed on your Shopify store, including order ID, customer details, order status, order total, shipping information, and more.
Products: Data related to the products available in your Shopify store, such as product details, variants, prices, inventory levels, and product categories.
Customers: Customer data, including customer names, contact information, purchase history, customer tags, and customer segments.
Discounts and Coupons: Data about discounts and coupons applied to orders, including discount codes, amounts, usage statistics, and associated orders.
Refunds: Information on customer refunds, including refund amounts, refund reasons, and associated orders.
Abandoned Checkouts: Data related to abandoned checkouts, including customer information, abandoned cart contents, and reasons for abandonment.
Analytics and Traffic Data: Shopify provides data on website visits, traffic sources, conversion rates, and other analytics metrics.
Fulfillment and Shipping: Data about shipping and fulfillment, including carrier information, tracking numbers, shipping costs, and delivery status.

The Shopify API provides access to a wide range of data, allowing you to extract and load the relevant data into BigQuery for analysis and reporting.

What are the Format Requirements for Data before Exporting from Shopify to BigQuery?

Before initiating the data transfer from Shopify to BigQuery, it’s crucial to ensure that the data is in a format compatible with BigQuery. For instance, if the API you are utilizing returns data in XML, it must be converted to a serialization format that BigQuery can comprehend. Currently, BigQuery supports two data formats:

CSV
JSON

Additionally, it is essential to confirm that the data types being used align with those supported by BigQuery, which include:

STRING
BOOLEAN
INTEGER
FLOAT
TIMESTAMP
RECORD

What is Shopify?

Shopify is a platform for you to build and grow your e-commerce business. The platform provides tools like the website builder that you can use to create an online business from scratch. It also gives you features to scale your business as it grows, including the integration of payment acceptance solutions. Additionally, Shopify provides tools for marketing your business, enabling you to promote both your brand and products online to attract customers. To generate the highest value from your Shopify platform, you need to analyze your data and use the insights for data-driven decisions.

Shopify Field Reference

Shopify Connectors

Shopify Dashboards

What is BigQuery?

BigQuery is a cloud-based solution, built to store and analyze big data. The architecture of BigQuery enables users to transfer data to the database while simultaneously querying or analyzing the data without any loss of performance speeds. Since BigQuery is available as a managed cloud service, users don’t need to maintain any database infrastructure. They also don’t have to worry about service outages since BigQuery has 99.99% uptime. Lastly, BigQuery has built-in machine learning and business intelligence features.

Connect all your data to BigQuery