Process & Analyze Certinia 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 Certinia data. This article explains how to host the CData JDBC Driver in AWS, as well as connect to and process live Certinia data in Databricks.

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

Install the CData JDBC Driver in Databricks

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

👁 Loading the JDBC JAR File into AWS

Access Certinia Data in your Notebook: Python

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

Configure the Connection to Certinia

Connect to Certinia by referencing the JDBC Driver class and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the 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.certinia.CertiniaDriver"
url = "jdbc:certinia:RTK=5246...;User=myUser;Password=myPassword;Security Token=myToken;InitiateOAuth=GETANDREFRESH;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.certinia.jar

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

There are several authentication methods available for connecting to Certinia: login credentials, SSO, and OAuth.

Authenticating with a Login and Token

Set the User and Password to your login credentials. Additionally, set the SecurityToken. By default, the SecurityToken is required, but you can make it optional by allowing a range of trusted IP addresses.

To disable the security token:

1. Log in to Certinia and enter "Network Access" in the Quick Find box in the setup section.
2. Add your IP address to the list of trusted IP addresses.

To obtain the security token:

1. Open the personal information page on certinia.com.
2. Click the link to reset your security token. The token will be emailed to you.
3. Specify the security token in the SecurityToken connection property or append it to the Password.

Authenticating with OAuth

If you do not have access to the user name and password or do not want to require them, use the OAuth user consent flow. See the OAuth section in the Help for an authentication guide.

Connecting to Certinia Sandbox Accounts

Set UseSandbox to true (false by default) to use a Certinia sandbox account. Ensure that you specify a sandbox user name in User.

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

Load Certinia Data

Once you configure the connection, you can load Certinia 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" , "Account") \
	.load ()

Display Certinia Data

Check the loaded Certinia data by calling the display function.

Step 3: Checking the result

display (remote_table.select ("BillingState"))

👁 Displaying Certinia Data

Analyze Certinia 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 Certinia data for reporting, visualization, and analysis.

% sql

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

👁 Displaying Certinia Data

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