Analyze Google Cloud Storage Data in SAP Analytics Cloud

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CData Connect



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

SAP Analytics Cloud is a cloud-based business intelligence platform. The CData Connect Cloud creates a virtual database for Google Cloud Storage and can be used to generate an OData API (natively consumable in Analytics Cloud) for Google Cloud Storage. 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 Google Cloud Storage 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 Google Cloud Storage

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

Add a Connect Cloud User

Create a User to connect to Google Cloud Storage 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 Google Cloud Storage 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 "Google Cloud Storage" from Available Data Sources
  3. Enter the necessary authentication properties to connect to Google Cloud Storage.

    Authenticate with a User Account

    You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

    When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

    You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

    • InitiateOAuth: Set this to GETANDREFRESH.
    • OAuthJWTCertType: Set this to "PFXFILE".
    • OAuthJWTCert: Set this to the path to the .p12 file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .p12 file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
    • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
    • ProjectId: Set this to the Id of the project you want to connect to.

    The OAuth flow for a service account then completes.

  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 Google Cloud Storage OData Endpoints in Connect Cloud

After connecting to Google Cloud Storage, create OData Endpoint for the desired table(s).

  1. Click OData -> Tables -> Add Tables
  2. Select the Google Cloud Storage 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 Google Cloud Storage Data in SAP Analytics Cloud

With the connection to Google Cloud Storage configured and the OData endpoint(s) created, we can create a Model for Google Cloud Storage 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 googlecloudstoragedb_Buckets) 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 Google Cloud Storage 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 Google Cloud Storage data. For more information on creating OData feeds from Google Cloud Storage (and more than 200 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Google Cloud Storage data in SAP Analytics Cloud.