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Rapidly create and deploy powerful Java applications that integrate with Twitter Ads.

ETL Twitter Ads in Oracle Data Integrator



This article shows how to transfer Twitter Ads data into a data warehouse using Oracle Data Integrator.

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

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

This article walks through a JDBC-based ETL -- Twitter Ads to Oracle. After reverse engineering a data model of Twitter Ads 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 and .lic file, located in the installation folder, into the ODI appropriate directory:

  • UNIX/Linux without Agent: ~/.odi/oracledi/userlib
  • UNIX/Linux with Agent: $ODI_HOME/odi/agent/lib
  • Windows without Agent: %APPDATA%\Roaming\odi\oracledi\userlib
  • Windows with Agent: %APPDATA%\Roaming\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 Twitter Ads data. After reverse engineering, you can query real-time Twitter Ads data and create mappings based on Twitter Ads tables.

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

      All tables require authentication. You must use OAuth to authenticate with Twitter. OAuth requires the authenticating user to interact with Twitter using the browser. For more information, refer to the OAuth section in the Help documentation.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.twitterads.jar

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

      Below is a typical connection string:

      jdbc:twitterads:InitiateOAuth=GETANDREFRESH
  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 Twitter Ads, enter the Schema selected, otherwise enter TwitterAds.
    • Database (Work Catalog): Enter CData.
    • Owner (Work Schema): If you select a Schema for Twitter Ads, enter the Schema selected, otherwise enter TwitterAds.
  5. In the opened model click Reverse Engineer to retrieve the metadata for Twitter Ads tables.

Edit and Save Twitter Ads Data

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

Create an ETL Project

Follow the steps below to create an ETL from Twitter Ads. You will load AdStats 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 AdStats table in Twitter Ads: CREATE TABLE ODI_DEMO.TRG_ADSTATS (ENTITY NUMBER(20,0),EntityId 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_ADSTATS 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_ADSTATS table from the Sales Administration model onto the mapping.
  7. Drag the AdStats table from the Twitter Ads 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 ADSTATS_AP in TARGET_GROUP.
  10. In the ADSTATS_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

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