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ETL Shopify data with Designer Cloud

CATEGORY: E-Commerce      STATUS: Available

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Shopify is the leading e-commerce platform that runs online and offline for building a website that contains your online store.

ETL Shopify data to your data warehouse, such as Amazon Redshift, Google BigQuery, Snowflake, Databricks, etc., in seconds. With Designer Cloud's Shopify data connector, you can transform, automate, and monitor your Shopify data pipeline in real-time. No code required.

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.

Dataprep documentation

How to set up the connector in your Trifacta Dataprep project.
 

Join Shopify data with any data source

Combine datasets from any data source with your Shopify data. Connect to any data - Designer Cloud's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining Shopify data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Designer Cloud's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Shopify Screenshot
 

Shopify to your data warehouse in minutes

ETL your Shopify data to the destination of your choice.
 

No-code automation for your Shopify data pipeline

Designer Cloud democratizes the ETL process and empowers everyone to easily build data engineering pipelines at scale with user-friendly functionality. With a few simple clicks, automate your data pipeline - Shopify ETL/ELT with ease. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Shopify data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform data from your Shopify integrations, ensure that the end result is high-quality data, every time. Designer Cloud automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Shopify data pipelines with job scheduling so that the right Shopify data is structured and in your database when you need it. When new data lands in Shopify, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 
Shopify Screenshot

Maximize the value of Shopify.

ETL Shopify data into a database in order to enrich it with data from other applications, such as your CRM or marketing platform. No longer will your Shopify data be isolated from the rest of your company’s critical and interconnected activities; instead, you’ll discover new, unforeseen insights and connect the dots across your company like never before.

 

"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."

Henry Culver

IT Architect, Merkle

 

Use cases for the Shopify data connector

  • Finance: Combine Shopify data with Salesforce data to understand how promotions and day to day point-of-sales numbers match up with revenue.

  • Marketing: Enrich Shopify data with marketing platform data to understand how unique marketing campaigns have an affect on sales.

  • Product: Determine how new products or new product features impact sales, and which products or features customers gravitate towards.

 
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