Create Apps from Google Data Catalog Data in Qlik Sense Cloud

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CData Connect



Use the CData Connect Cloud to create an OData API for Google Data Catalog data and build apps from live Google Data Catalog data in Qlik Sense Cloud.

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. The CData Connect Cloud creates a virtual database for Google Data Catalog and can be used to generate an OData API (natively consumable in Qlik Sense Cloud) for Google Data Catalog. By pairing Qlik Sense 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 from Qlik Sense Cloud as you would any other REST service and get instant, live access to your Google Data Catalog data.

In this article, we walk through two connections:

  1. Connecting to Google Data Catalog in Connect Cloud
  2. Connecting to Connect Cloud from Qlik Sense Cloud to create a model and build a simple dashboard

Configure Connect Cloud to Connect to Google Data Catalog

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

Add a Connect Cloud User

Create a Cloud Hub User to connect to Google Data Catalog from Qlik Sense 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 Data Catalog 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 Data Catalog" from Available Data Sources
  3. Enter the necessary authentication properties to connect to Google Data Catalog.

    Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

    Before connecting, specify the following to identify the organization and project you would like to connect to:

    • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

      Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

    • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

      Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

    When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

  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 Data Catalog OData Endpoints in Connect Cloud

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

  1. Click OData -> Tables -> Add Tables
  2. Select the Google Data Catalog 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 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 Qlik Sense App from Google Data Catalog Data

With the connection to Google Data Catalog and OData endpoints created, we are ready to add Google Data Catalog data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

  1. Log into your Qlik Sense instance and click the button to create a new app
  2. Name and configure the new app and click "Create"
  3. In the workspace, click to open the new app
  4. Click to add data from files and other sources
  5. Select the REST connector and set the configuration properties. For the most part, you will use the default values, with the following exceptions:
    • URL: Set this to the API endpoint for your Google Data Catalog table, using the @CSV URL parameter to ensure a CSV response (i.e. https://www.cdatacloud.net/api.rsc/MYINSTANCE/GoogleDataCatalog_Schemas?@CSV)
    • Authentication Schema: Set this to "Basic"
    • User Name: Set this to the user name you configured above
    • Password: Set this to the Authtoken for the above user
  6. Click "Create" to query Connect Cloud for the Google Data Catalog data
  7. Check "CSV has header" and under "Tables," select "CSV_source"
  8. Select columns and click "Add data"

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. Click "Generate insights" to let Qlik analyze your data. Otherwise, you can build custom visualizations, reports, and dashboards based on your Google Data Catalog data.

More Information & Free Trial

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