Process & Analyze Adobe Target 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 Adobe Target data. This article walks through hosting the CData JDBC Driver in AWS, as well as connecting to and processing live Adobe Target data in Databricks.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Adobe Target data. When you issue complex SQL queries to Adobe Target, the driver pushes supported SQL operations, like filters and aggregations, directly to Adobe Target 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 Adobe Target data using native data types.

Install the CData JDBC Driver in Databricks

To work with live Adobe Target 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.adobetarget.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Access Adobe Target Data in your Notebook: Python

With the JAR file installed, we are ready to work with live Adobe Target 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 Adobe Target, and create a basic report.

Configure the Connection to Adobe Target

Connect to Adobe Target 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.adobetarget.AdobeTargetDriver"
url = "jdbc:adobetarget:RTK=5246...;Tenant=mycompanyname;InitiateOAuth=GETANDREFRESH"

Built-in Connection String Designer

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

java -jar cdata.jdbc.adobetarget.jar

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

To connect to Adobe Target, you must provide the Tenant property along with OAuth connection properties mentioned below. Note that while other connection properties can influence processing behavior, they do not affect the ability to connect.

To determine your Tenant name:

1. Log in to Adobe Experience. The URL will look similar to: "https://experience.adobe.com/#/@mycompanyname/preferences/general-section".
2. Extract the value after the "/#/@". In this example, it is "mycompanyname".
3. Set the Tenant connection property to that value.

User Accounts (OAuth)

You must set AuthScheme to OAuthClient for all user account flows.

Note: Adobe authentication via OAuth requires updating your token every two weeks.

All Applications

Obtaining the OAuth Access Token

Set the following properties to connect:

• InitiateOAuth: Set to GETANDREFRESH to automatically perform the OAuth exchange and refresh the OAuthAccessToken as needed.
• OAuthClientId : Set to the client Id assigned when you registered your app.
• OAuthClientSecret : Set to the client secret assigned when you registered your app.
• CallbackURL : Set to the redirect URI defined when you registered your app. For example: https://localhost:3333

With these settings, the provider obtains an access token from Adobe Target, which it uses to request data. The OAuth values are stored in the location specified by OAuthSettingsLocation, ensuring they persist across connections.

Load Adobe Target Data

Once you configure the connection, you can load Adobe Target 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" , "Activities") \
	.load ()

Display Adobe Target Data

Check the loaded Adobe Target data by calling the display function.

Step 3: Checking the result

display (remote_table.select ("Id"))

Analyze Adobe Target 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 Adobe Target data for reporting, visualization, and analysis.

% sql

SELECT Id, Name FROM SAMPLE_VIEW ORDER BY Name DESC LIMIT 5

The data from Adobe Target 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 Adobe Target and start working with your live Adobe Target data in Databricks. Reach out to our Support Team if you have any questions.