Build Google Directory-Connected Visualizations in datapine

datapine is a browser-based business intelligence platform. When paired with the CData Connect Cloud, you get access to your Google Directory data directly from your datapine visualizations and dashboards. This article describes connecting to Google Directory in CData Connect Cloud and building a simple Google Directory-connected visualization in datapine.

CData Connect Cloud provides a pure SQL Server interface for Google Directory, allowing you to query data from Google Directory without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Google Directory, leveraging server-side processing to return the requested Google Directory data quickly.

Configure Google Directory Connectivity for datapine

Connectivity to Google Directory from datapine is made possible through CData Connect Cloud. To work with Google Directory data from datapine, we start by creating and configuring a Google Directory connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Google Directory" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Google Directory.

   Google uses the OAuth authentication standard. You can authorize the data provider to access Google Spreadsheets as an individual user or with a Google Apps Domain service account. See the Getting Started section of the data provider help documentation for an authentication guide.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Google Directory Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Connecting to Google Directory from datapine

Once you configure your connection to Google Directory in Connect Cloud, you are ready to connect to Google Directory from datapine.

1. Log into datapine
2. Click Connect to navigate to the "Connect" page
3. Select MS SQL Server as the data source
4. In the Integration step, fill in the connection properties and click "Save and Proceed"
   • Set the Internal Name
   • Set Database Name to the name of the connection we just configured (e.g. GoogleDirectory1)
   • Set Host / IP to "tds.cdata.com"
   • Set Username to your Connect Cloud username (e.g. user@mydomain.com)
   • Set Password to the corresponding PAT
   • Set Database Port to "14333"
5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed"
6. In the References step, define any relationships between your selected tables and click "Save and Proceed"
7. In the Data Transfer step, click "Go to Analyzer"

Visualize Google Directory Data in datapine

After connecting to CData Connect Cloud, you are ready to visualize your Google Directory data in datapine. Simply select the dimensions and measures you wish to visualize!

Having connect to Google Directory from datapine, you are now able to visualize and analyze real-time Google Directory data no matter where you are. To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect Cloud today!