Build Semantic Layer Views for BigCommerce Data in APOS Live Data Gateway

APOS Live Data Gateway (LDG) is a data connection and data transformation solution that enables live data connectivity and expanded data source options for SAP Analytics Cloud and other SAP solutions. When paired with CData Connectors, users can build semantic layer views for live BigCommerce data, enabling real-time analytics on BigCommerce just like working with a relational database.

With built-in optimized data processing, the CData Connector offers unmatched performance for interacting with live BigCommerce data. When you issue complex SQL queries to BigCommerce, the driver pushes supported SQL operations, like filters and aggregations, directly to BigCommerce and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze BigCommerce data using native data types.

Download and Install the Connector Files

In order to access BigCommerce data through the APOS Live Data Gateway, you will need to download the connector files from APOS and install them on the machine hosting the Live Data Gateway. An APOS representative can deliver the necessary files.

• Install the CData DLL file (System.Data.CData.BigCommerce.dll) to the APOS Live Data Gateway installation directory (C:\Program Files\Live Data Gateway\Admin\ by default).
• Install the CData JAR file (cdata.jdbc.bigcommerce.jar) to the ConnectionTest_lib folder in the installation directory (C:\Program Files\Live Data Gateway\Admin\ConnectionTest_lib\ by default).
• Install the CData JAR file (cdata.jdbc.bigcommerce.jar) to the lib folder in the Web UI installation directory (e.g.: C:\LDG_WebUI\lib\)

Configuring the BigCommerce Connection String

Before establishing the connection to BigCommerce from the APOS Live Data Gateway, you need to configure the BigCommerce JDBC Connection String.

Built-in Connection String Designer

For assistance in constructing the JDBC Connection String, use the connection string designer built into the BigCommerce JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

Fill in the connection properties and copy the connection string to the clipboard.

BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

1. Log in to your BigCommerce account.
2. From the Home Page, select Advanced Settings > API Accounts.
3. Click Create API Account.
4. A text box named API Path will appear on your screen.
5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.

Your connection string will look similar to the following:

Connecting to BigCommerce & Creating a Semantic Layer View

After installing the connector files and configuring the connection string, you are ready to connect to BigCommerce in the Live Data Gateway Admin tool and build a semantic layer view in the Live Data Gateway Web UI.

Configuring the Connection to BigCommerce

1. Log into your APOS Live Data Gateway Manager
2. If you haven't already, update your APOS LDG license file
   1. Click File -> Configurations
   2. Click on the "..." Menu for the License
   3. Select the license file from the APOS team that includes your CData Connector license
3. In the APOS Live Data Gateway Manager, click "Add"
4. In the APOS Live Data Gateway On the Connection tab, configure the connection:
   • Set Data Source to "Database"
   • Set Database to "CData Drivers"
   • Set Database CData Drivers to "BigCommerce"
   • Set Connection String to the connection string configured earlier (e.g.: jdbc:BigCommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'
   • Set Driver Class to "cdata.jdbc.bigcommerce.BigCommerceDriver" (this should be set by default)
5. Click Test Connection
6. Click Save
7. Give your connection a unique prefix (e.g. "bigcommerce")
8. Highlight the newly created connection and click File -> "Approve Users For Web UI"
9. Approve the appropriate DB users to create views and click "Save"

At this point, we are ready to build our semantic layer view in the Live Data Gateway Web UI.

Creating a Semantic Layer View

1. In your browser, navigate to the APOS Live Data Gateway Portal
2. Select a Connection (e.g. "bigcommerce")
3. Since BigCommerce does not require a User or Password to authenticate, you may use whatever values you wish for User Name and Password
4. Click "Login"
5. Once connected, click "Semantic Layer" to create a new semantic layer view
6. Click "New Semantic Layer View"
7. Set the Semantic Layer View Prefix and Semantic Layer View Name
8. Click "Step 2"
9. Select the table(s) and column(s) you wish to include in your view
10. Click "Step 3"
11. Select the Measures from the available table columns
12. Click "Step 5" (we skipped the "Extra Dimensions" step)
13. Add any Variable Prompts
14. Click "Step 6"
15. Define any Table Joins
16. Click "Review"
17. Review you semantic layer view and click "Save"

With the Semantic Layer View created, you are ready to access your BigCommerce data through the APOS Live Data Gateway, enabling real-time data connectivity to BigCommerce data from SAP Analytics Cloud and other SAP solutions.

More Information & Free Evaluation

Please visit APOS Systems - APOS Solutions - Request Evaluation Software to request evaluation software or email info@apos.com for more information on working with your live BigCommerce data in APOS Live Data Gateway.