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Birst is a cloud business intelligence (BI) tool and analytics platform that helps organizations quickly understand and optimize complex processes. When paired with the CData JDBC Driver for Shopify, you can connect to live Shopify data through the Birst Cloud Agent and build real-time visualizations. In this article, we walk you through, step-by-step, how to connect to Shopify using the Cloud Agent and create dynamic reports in Birst.
With powerful data processing capabilities, the CData JDBC driver offers unmatched performance for live Shopify data operations in Birst. When you issue complex SQL queries from Birst to Shopify, the driver pushes supported SQL operations, like filters and aggregations, directly to Shopify and utilizes the embedded SQL Engine to process unsupported operations client-side (often SQL functions and JOIN operations). With built-in dynamic metadata querying, the JDBC driver enables you to visualize and analyze Shopify data using native Birst data types.
Before creating the Birst project, you will need to install the Birst Cloud Agent (in order to work with the installed JDBC Driver). Also, copy the JAR file for the JDBC Driver (and the LIC file, if it exists) to the /drivers/ directory in the installation location for the Cloud Agent.
With the driver and Cloud Agent installed, you are ready to begin.
To make use of all the features of the data provider, provide the AppId, Password, and ShopUrl connection properties.
To obtain these values, see the Getting Started section in the help documentation to register the data provider as an application with Shopify.
For assistance in constructing the JDBC URL, use the connection string designer built into the Shopify JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.shopify.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Below is a typical JDBC connection string for Shopify:
jdbc:shopify:AppId=MyAppId;Password=MyPassword;ShopUrl=https://yourshopname.myshopify.com;
NOTE: Since authentication to Shopify is managed from the connection string, you can leave Security Credentials blank.
Now that the connection is configured, we are ready to configure the schema for the dataset, choosing the tables, views, and columns we wish to visualize.
With the objects configured, you can perform any data preparation and discover any relationships in your data using the Pronto Prepare and Relate tools.
After you prepare your data and define relationships between the connected objects, you are ready to build your visualization.
Using the CData JDBC Driver for Shopify with the Cloud Agent and Birst, you can easily create robust visualizations and reports on Shopify data. Download a free, 30-day trial and start building Birst visualizations today.
Download a free trial of the Shopify Driver to get started:
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