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⇱ Build Adobe Analytics-Connected Visualizations in datapine


Build Adobe Analytics-Connected Visualizations in datapine

πŸ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI and datapine to build visualizations and dashboards with access to live Adobe Analytics data.

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

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

Configure Adobe Analytics Connectivity for datapine

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Adobe Analytics" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to Adobe Analytics.

    Adobe Analytics uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" section of the help documentation for a guide.

    Retrieving GlobalCompanyId

    GlobalCompanyId is a required connection property. If you do not know your Global Company ID, you can find it in the request URL for the users/me endpoint on the Swagger UI. After logging into the Swagger UI Url, expand the users endpoint and then click the GET users/me button. Click the Try it out and Execute buttons. Note your Global Company ID shown in the Request URL immediately preceding the users/me endpoint.

    Retrieving Report Suite Id

    Report Suite ID (RSID) is also a required connection property. In the Adobe Analytics UI, navigate to Admin -> Report Suites and you will get a list of your report suites along with their identifiers next to the name.

    After setting the GlobalCompanyId, RSID and OAuth connection properties, you are ready to connect to Adobe Analytics.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Adobe Analytics Connection page and update the User-based permissions. πŸ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Adobe Analytics data from datapine.

Connecting to Adobe Analytics from datapine

Once you configure your connection to Adobe Analytics in Connect AI, you are ready to connect to Adobe Analytics 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. AdobeAnalytics1)
    • Set Host / IP to "tds.cdata.com"
    • Set Username to your Connect AI username (e.g. [email protected])
    • Set Password to the corresponding PAT
    • Set Database Port to "14333"
    πŸ‘ Configuring the connection to CData Connect AI
  5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed" πŸ‘ Selecting tables and fields to visualize (Salesforce is shown)
  6. In the References step, define any relationships between your selected tables and click "Save and Proceed" πŸ‘ Defining foreign key relationships
  7. In the Data Transfer step, click "Go to Analyzer"

Visualize Adobe Analytics Data in datapine

After connecting to CData Connect AI, you are ready to visualize your Adobe Analytics data in datapine. Simply select the dimensions and measures you wish to visualize!

πŸ‘ Visualizing data in datapine (Salesforce is shown)

Having connect to Adobe Analytics from datapine, you are now able to visualize and analyze real-time Adobe Analytics data no matter where you are. To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect AI today!

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