Analyze Magento Data in SAP Analytics Cloud

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CData Connect



Use the CData Connect Cloud to create an OData API on top of Magento data and visualize live Magento data in SAP Analytics Cloud.

SAP Analytics Cloud is a cloud-based business intelligence platform. The CData Connect Cloud creates a virtual database for Magento and can be used to generate an OData API (natively consumable in Analytics Cloud) for Magento. By pairing SAP Analytics Cloud with the CData Connect Cloud, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect Cloud as you would any other OData service and get instant, live access to all of your data.

In this article, we walk through connecting to Magento in Connect Cloud and connecting to Connect Cloud from Analytics Cloud to create a model and build a simple dashboard.

Configure Connect Cloud to Connect to Magento

To connect to Magento data from SAP Analytics Cloud, you need to configure Magento access from your Connect Cloud instance. This means creating a user, connecting to Magento, adding OData endpoints, and (optionally) configuring CORS.

Add a Connect Cloud User

Create a User to connect to Magento from Analytics Cloud through Connect Cloud.

  1. Click Users -> Add
  2. Configure a User
  3. Click Save Changes and make note of the Authtoken for the new user

Connect to Magento from Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Open Connect Cloud and click Databases
  2. Select "Magento" from Available Data Sources
  3. Enter the necessary authentication properties to connect to Magento.

    Magento uses the OAuth 1 authentication standard. To connect to the Magento REST API, you will need to obtain values for the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties by registering an app with your Magento system. See the "Getting Started" section in the help documentation for a guide to obtaining the OAuth values and connecting.

    You will also need to provide the URL to your Magento system. The URL depends on whether you are using the Magento REST API as a customer or administrator.

    • Customer: To use Magento as a customer, make sure you have created a customer account in the Magento homepage. To do so, click Account -> Register. You can then set the URL connection property to the endpoint of your Magento system.

    • Administrator: To access Magento as an administrator, set CustomAdminPath instead. This value can be obtained in the Advanced settings in the Admin menu, which can be accessed by selecting System -> Configuration -> Advanced -> Admin -> Admin Base URL.

      If the Use Custom Admin Path setting on this page is set to YES, the value is inside the Custom Admin Path text box; otherwise, set the CustomAdminPath connection property to the default value, which is "admin".

  4. Click Test Database
  5. Click Privileges -> Add, and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal)

Add Magento OData Endpoints in Connect Cloud

After connecting to Magento, create OData Endpoint for the desired table(s).

  1. Click OData -> Tables -> Add Tables
  2. Select the Magento database
  3. Select the table(s) you wish to work with and click Next
  4. (Optional) Edit the resource to select specific fields and more
  5. Save the settings

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in OData -> Settings.

  • Enable cross-origin resource sharing (CORS): ON
  • Allow all domains without '*': ON
  • Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
  • Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

Create a Model of Magento Data in SAP Analytics Cloud

With the connection to Magento configured and the OData endpoint(s) created, we can create a Model for Magento data in SAP Analytics Cloud.

  1. Log into your Analytics Cloud instance and click Create -> Model from the menu.
  2. Choose "Get data from a datasource" and select "OData Services"
  3. Choose an existing connection to your Connect Cloud OData or Create a new one:
    • Set "Connection Name"
    • Set "Data Service URL" to the Base URL for your OData API (typically: https://www.cdatacloud.net/MYINSTANCE/api.rsc)
    • Set "Authentication Type" to Basic Authentication
    • Set "User Name" to the Connect Cloud user you configured earlier
    • Set "Password" to the Authtoken for the above user
  4. Choose "Create a new query" and click Next
  5. Name the Query, select an OData endpoint (like magentodb_Products) and click Next
  6. Drag the columns you wish to work with into the Selected Data workspace and click Create
  7. At this point, a Draft Data source is created; click the draft to finalize the model
  8. Perform any transformations, including creating calculated dimensions, location dimensions, and combining data sources, then click Create Model
  9. Name your model and click OK

Build a Dashboard in SAP Analytics Cloud

With the model created, you are ready to create a dashboard in SAP Analytics Cloud based on Magento data.

  1. From the menu, click Create -> Story
  2. Click an SAP Analytics Template (this article uses the "Dashboard" template)
  3. Choose a layout and click Apply
  4. From the More menu, select a visualization to insert (Chart)
  5. Select a model to visualize
  6. Select a structure and the required Measures and Dimensions
  7. Save the story

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Magento data. For more information on creating OData feeds from Magento (and more than 200 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Magento data in SAP Analytics Cloud.