ETL Adobe Analytics in Oracle Data Integrator

Leverage existing skills by using the JDBC standard to connect to Adobe Analytics: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for Adobe Analytics connects real-time Adobe Analytics data to your data warehouse, business intelligence, and Big Data technologies.

JDBC connectivity enables you to work with Adobe Analytics just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the Adobe Analytics APIs in real time instead of working with flat files.

This article covers a JDBC-based ETL -- Adobe Analytics to Oracle. After reverse engineering a data model of Adobe Analytics entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.

Install the Driver

To install the driver, copy the driver JAR (cdata.jdbc.adobeanalytics.jar) and .lic file (cdata.jdbc.adobeanalytics.lic), located in the installation folder, into the ODI appropriate directory:

• UNIX/Linux without Agent: ~/.odi/oracledi/userlib
• UNIX/Linux with Agent: ~/.odi/oracledi/userlib and $ODI_HOME/odi/agent/lib
• Windows without Agent: %APPDATA%\Roaming\odi\oracledi\userlib
• Windows with Agent: %APPDATA%\odi\oracledi\userlib and %APPDATA%\odi\agent\lib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of Adobe Analytics data. After reverse engineering, you can query real-time Adobe Analytics data and create mappings based on Adobe Analytics tables.

1. In ODI, connect to your repository and click New -> Model and Topology Objects. 👁 Create a New Model
   
2. On the Model screen of the resulting dialog, enter the following information:
   • Name: Enter AdobeAnalytics.
   • Technology: Select Generic SQL (for ODI Version 12.2+, select Microsoft SQL Server).
   • Logical Schema: Enter AdobeAnalytics.
   • Context: Select Global.
   👁 Configuring the Model
   
3. On the Data Server screen of the resulting dialog, enter the following information:
   • Name: Enter AdobeAnalytics.
   • Driver List: Select Oracle JDBC Driver.
   • Driver: Enter cdata.jdbc.adobeanalytics.AdobeAnalyticsDriver
   • URL: Enter the JDBC URL containing the connection string.

     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.

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Adobe Analytics JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.adobeanalytics.jar
     

     Fill in the connection properties and copy the connection string to the clipboard.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     

     Below is a typical connection string:

     jdbc:adobeanalytics:GlobalCompanyId=myGlobalCompanyId; RSID=myRSID; OAuthClientId=myOauthClientId; OauthClientSecret=myOAuthClientSecret; CallbackURL=myCallbackURL;
     

   👁 Configuring the Data Server
   
4. On the Physical Schema screen, enter the following information:
   • Name: Select from the Drop Down menu.
   • Database (Catalog): Enter CData.
   • Owner (Schema): If you select a Schema for Adobe Analytics, enter the Schema selected, otherwise enter AdobeAnalytics.
   • Database (Work Catalog): Enter CData.
   • Owner (Work Schema): If you select a Schema for Adobe Analytics, enter the Schema selected, otherwise enter AdobeAnalytics.
   👁 Configuring the Physical Schema
   
5. In the opened model click Reverse Engineer to retrieve the metadata for Adobe Analytics tables. 👁 Reverse Engineer the Model
   

Edit and Save Adobe Analytics Data

After reverse engineering you can now work with Adobe Analytics data in ODI. To view Adobe Analytics data, expand the Models accordion in the Designer navigator, right-click a table, and click View data. 👁 Viewing the data.

Create an ETL Project

Follow the steps below to create an ETL from Adobe Analytics. You will load AdsReport entities into the sample data warehouse included in the ODI Getting Started VM.

1. Open SQL Developer and connect to your Oracle database. Right-click the node for your database in the Connections pane and click new SQL Worksheet.

   Alternatively you can use SQLPlus. From a command prompt enter the following:

   sqlplus / as sysdba
   

2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema. The following query defines a few columns that match the AdsReport table in Adobe Analytics:

   CREATE TABLE ODI_DEMO.TRG_ADSREPORT (PAGEVIEWS NUMBER(20,0),Page VARCHAR2(255));
   

3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder. The model is opened in the Model Editor.
4. Click Reverse Engineer. The TRG_ADSREPORT table is added to the model.
5. Right-click the Mappings node in your project and click New Mapping. Enter a name for the mapping and clear the Create Empty Dataset option. The Mapping Editor is displayed.
6. Drag the TRG_ADSREPORT table from the Sales Administration model onto the mapping.
7. Drag the AdsReport table from the Adobe Analytics model onto the mapping.
8. Click the source connector point and drag to the target connector point. The Attribute Matching dialog is displayed. For this example, use the default options. The target expressions are then displayed in the properties for the target columns.
9. Open the Physical tab of the Mapping Editor and click ADSREPORT_AP in TARGET_GROUP.
10. In the ADSREPORT_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab. 👁 SQL-based access to Adobe Analytics enables you to use standard database-to-database knowledge modules.
    

You can then run the mapping to load Adobe Analytics data into Oracle.