ETL Zoom in Oracle Data Integrator

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

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

This article covers a JDBC-based ETL -- Zoom to Oracle. After reverse engineering a data model of Zoom 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.api.jar) and .lic file (cdata.jdbc.api.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 Zoom data. After reverse engineering, you can query real-time Zoom data and create mappings based on Zoom 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 API.
   • Technology: Select Generic SQL (for ODI Version 12.2+, select Microsoft SQL Server).
   • Logical Schema: Enter API.
   • Context: Select Global.
   👁 Configuring the Model
   
3. On the Data Server screen of the resulting dialog, enter the following information:
   • Name: Enter API.
   • Driver List: Select Oracle JDBC Driver.
   • Driver: Enter cdata.jdbc.api.APIDriver
   • URL: Enter the JDBC URL containing the connection string.

     Start by setting the Profile connection property to the location of the Zoom Profile on disk (e.g. C:\profiles\Zoom.apip). Next, set the ProfileSettings connection property to the connection string for Zoom (see below).

     Zoom API Profile Settings

     To authenticate to Zoom, you can use the OAuth standard to connect to your own data or to allow other users to connect to their data.

     First create an OAuth app. To do so, navigate to https://marketplace.zoom.us/develop/create and click Create under the OAuth section. Select whether or not the app will be for individual users or for the entire account, and uncheck the box to publish the app. Give the app a name and click Create. You will then be given your Client Secret and Client ID

     After setting the following connection properties, you are ready to connect:

     • AuthScheme: Set this to OAuth.
     • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
     • OAuthClientID: Set this to the OAuth Client ID that is specified in your app settings.
     • OAuthClientSecret: Set this to the OAuth Client Secret that is specified in your app settings.
     • CallbackURL: Set this to the Redirect URI you specified in your app settings.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\Zoom.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;
     

   👁 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 Zoom, enter the Schema selected, otherwise enter API.
   • Database (Work Catalog): Enter CData.
   • Owner (Work Schema): If you select a Schema for Zoom, enter the Schema selected, otherwise enter API.
   👁 Configuring the Physical Schema
   
5. In the opened model click Reverse Engineer to retrieve the metadata for Zoom tables. 👁 Reverse Engineer the Model
   

Edit and Save Zoom Data

After reverse engineering you can now work with Zoom data in ODI. To view Zoom 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 Zoom. You will load MeetingRegistrants 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 MeetingRegistrants table in Zoom:

   CREATE TABLE ODI_DEMO.TRG_MEETINGREGISTRANTS (JOBTITLE NUMBER(20,0),Id 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_MEETINGREGISTRANTS 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_MEETINGREGISTRANTS table from the Sales Administration model onto the mapping.
7. Drag the MeetingRegistrants table from the Zoom 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 MEETINGREGISTRANTS_AP in TARGET_GROUP.
10. In the MEETINGREGISTRANTS_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab. 👁 SQL-based access to Zoom enables you to use standard database-to-database knowledge modules.
    

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