Process & Analyze Oracle Eloqua Reporting Data in Databricks (AWS)

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live Oracle Eloqua Reporting data. This article walks through hosting the CData JDBC Driver in AWS, as well as connecting to and processing live Oracle Eloqua Reporting data in Databricks.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Oracle Eloqua Reporting data. When you issue complex SQL queries to Oracle Eloqua Reporting, the driver pushes supported SQL operations, like filters and aggregations, directly to Oracle Eloqua Reporting and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Oracle Eloqua Reporting data using native data types.

Install the CData JDBC Driver in Databricks

To work with live Oracle Eloqua Reporting data in Databricks, install the driver on your Databricks cluster.

1. Navigate to your Databricks administration screen and select the target cluster.
2. On the Libraries tab, click "Install New."
3. Select "Upload" as the Library Source and "Jar" as the Library Type.
4. Upload the JDBC JAR file (cdata.jdbc.oracleeloquareporting.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Access Oracle Eloqua Reporting Data in your Notebook: Python

With the JAR file installed, we are ready to work with live Oracle Eloqua Reporting data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query Oracle Eloqua Reporting, and create a basic report.

Configure the Connection to Oracle Eloqua Reporting

Connect to Oracle Eloqua Reporting by referencing the JDBC Driver class and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the RTK property in the JDBC URL (unless you are using a Beta driver). You can view the licensing file included in the installation for information on how to set this property.

Step 1: Connection Information

driver = "cdata.jdbc.oracleeloquareporting.OracleEloquaReportingDriver"
url = "jdbc:oracleeloquareporting:RTK=5246...;AuthScheme=Basic;User=user;Password=password;Company=MyCompany;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.oracleeloquareporting.jar

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

Oracle Eloqua Reporting supports the following authentication methods:

• Basic authentication (User and Password)
• OAuth 2.0 code grant flow
• OAuth 2.0 password grant flow

Basic Authentication (User and Password)

To perform authentication with a user and password, specify these properties:

• AuthScheme: Basic.
• Company: The company name associated with your Oracle Eloqua Reporting account.
• User: Your login account name.
• Password: Your login password.

OAuth Authentication (Code Grant Flow)

To authenticate with the OAuth code grant flow, you must set AuthScheme to OAuth and create a custom OAuth application. For information about how to create a custom OAuth application, see the Help documentation.

Then set the following properties:

• InitiateOAuth: GETANDREFRESH. Used to automatically get and refresh the OAuthAccessToken.
• OAuthClientId: The client Id assigned when you registered your application.
• OAuthClientSecret: The client secret that was assigned when you registered your application.
• CallbackURL: The redirect URI that was defined when you registered your application.

When you connect, the driver opens Oracle Eloqua Reporting's OAuth endpoint in your default browser. Log in and grant permissions to the application. When the access token expires, the driver refreshes it automatically.

OAuth Authentication (Password Grant Flow)

With the OAuth password grant flow, you can use your OAuth application's credentials alongside your user credentials to authenticate without the need to grant permission manually via a browser prompt. You must create an OAuth app (see the Help documentation) to use this authentication method.

Set the following properties:

• AuthScheme: OAuthPassword
• Company: The company's unique identifier.
• User: Your login account name.
• Password: Your login password.
• OAuthClientId: The client Id assigned when you registered your custom OAuth application.
• OAuthClientSecret: The client secret assigned when you registered your custom OAuth application.

Load Oracle Eloqua Reporting Data

Once you configure the connection, you can load Oracle Eloqua Reporting data as a dataframe using the CData JDBC Driver and the connection information.

Step 2: Reading the data

remote_table = spark.read.format ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "") \
	.load ()

Display Oracle Eloqua Reporting Data

Check the loaded Oracle Eloqua Reporting data by calling the display function.

Step 3: Checking the result

display (remote_table.select (""))

Analyze Oracle Eloqua Reporting Data in Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

Step 4: Create a view or table

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

With the Temp View created, you can use SparkSQL to retrieve the Oracle Eloqua Reporting data for reporting, visualization, and analysis.

% sql

SELECT ,  FROM SAMPLE_VIEW ORDER BY  DESC LIMIT 5

The data from Oracle Eloqua Reporting is only available in the target notebook. If you want to use it with other users, save it as a table.

remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )

Download a free, 30-day trial of the CData JDBC Driver for Oracle Eloqua Reporting and start working with your live Oracle Eloqua Reporting data in Databricks. Reach out to our Support Team if you have any questions.