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Expected Shopify data

Here’s a sample of the raw Shopify data that Stitch will replicate to your analytics warehouse:

Checkouts

This table contains information about abandoned checkouts. Abandoned checkouts are defined as checkouts where the customer has entered their billing and shipping information, but not completed the ordering process.

Table name:checkouts

Customers

This table contains information about customer accounts.

Table name:customers

Order

This table contains information about completed customer orders.

Table name:order

Product

This table contains information about products.

Table name:product

Refunds

This table contains information about refunds.

Table name:refunds

Transactions

This table contains information about transactions. In Shopify, a transaction is created for every order that results in an exchange of money - an authorization, a sale, a capture, a void, and a refund.

Table name:transactions

Metafields

this table contains information about metafields

Table name:metafields

View all tables

Learn more about syncing Shopify data

Documentation

Detailed documentation on how to start syncing Shopify data.

Shopify Documentation

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When it comes to replicating your data to Amazon Redshift, conventional ETL is no longer the only game in town.

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Analyzing our data in SQL has unlocked business analytics at Vero. We can customize and collaborate on our analyses, join across data sources, and produce reports that actually get used. Stitch makes all that possible by loading our data into Amazon Redshift.

Chris Hexton

Co-Founder, Vero

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Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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