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Get the Report →How to Seamlessly Import Zuora Data into IBM SPSS Modeler
Integrate Zuora data into IBM SPSS Modeler using the CData ODBC Driver for real-time insights and advanced data analysis.
IBM SPSS Modeler is a powerful data mining and predictive analytics platform that enables organizations to extract valuable insights from their data. By connecting Zuora data data to SPSS Modeler via the CData ODBC Driver for Zuora, you can leverage real-time access for advanced data mining, predictive modeling, and statistical analysis.
This guide takes you through the steps of connecting IBM SPSS Modeler to Zuora data, enabling seamless data import, preparation, and analysis. With the CData ODBC Driver for Zuora, you can unlock the full potential of your Zuora data data within IBM SPSS Modeler for actionable insights.
Overview
Here is an overview of the steps:
- CONFIGURE THE ODBC DRIVER: Set up a connection to Zuora data in the CData ODBC Driver for Zuora by entering the required connection properties.
- SET UP ODBC CONNECTION IN SPSS MODELER: Establish the ODBC connection within IBM SPSS Modeler by selecting the configured DSN.
- IMPORT AND PROCESS DATA: Import the Zuora data data into SPSS Modeler, then review, filter, transform, and prepare the data for predictive analytics and statistical modeling.
Configure the Zuora DSN Using the CData ODBC Driver
To start, configure the DSN (Data Source Name) for Zuora data in your system using the CData ODBC Driver. Download and install a 30-day free trial with all the features from here.
Once installed, launch the ODBC Data Source Administrator:
- On Windows: Search for ODBC Data Source Administrator in the Start menu and open the application.
- On Mac: Open Applications, go to Utilities, and select ODBC Manager.
- On Linux: Use the command line to launch ODBC Data Source Administrator or use unixODBC if installed.
![ODBC Data Source Administrator](../articles/odbc-spss-modeler-01.jpg)
Once launched, double-click on the CData Zuora data Source and enter the required values to establish a connection:
Zuora uses the OAuth standard to authenticate users. See the online Help documentation for a full OAuth authentication guide.
Configuring Tenant property
In order to create a valid connection with the provider you need to choose one of the Tenant values (USProduction by default) which matches your account configuration. The following is a list with the available options:
- USProduction: Requests sent to https://rest.zuora.com.
- USAPISandbox: Requests sent to https://rest.apisandbox.zuora.com"
- USPerformanceTest: Requests sent to https://rest.pt1.zuora.com"
- EUProduction: Requests sent to https://rest.eu.zuora.com"
- EUSandbox: Requests sent to https://rest.sandbox.eu.zuora.com"
Selecting a Zuora Service
Two Zuora services are available: Data Query and AQuA API. By default ZuoraService is set to AQuADataExport.
DataQuery
The Data Query feature enables you to export data from your Zuora tenant by performing asynchronous, read-only SQL queries. We recommend to use this service for quick lightweight SQL queries.
Limitations- The maximum number of input records per table after filters have been applied: 1,000,000
- The maximum number of output records: 100,000
- The maximum number of simultaneous queries submitted for execution per tenant: 5
- The maximum number of queued queries submitted for execution after reaching the limitation of simultaneous queries per tenant: 10
- The maximum processing time for each query in hours: 1
- The maximum size of memory allocated to each query in GB: 2
- The maximum number of indices when using Index Join, in other words, the maximum number of records being returned by the left table based on the unique value used in the WHERE clause when using Index Join: 20,000
AQuADataExport
AQuA API export is designed to export all the records for all the objects ( tables ). AQuA query jobs have the following limitations:
Limitations- If a query in an AQuA job is executed longer than 8 hours, this job will be killed automatically.
- The killed AQuA job can be retried three times before returned as failed.
![Configuring ODBC DSN (Salesforce is shown)](../articles/odbc-spss-modeler-02.jpg)
Setup an ODBC Connection in IBM SPSS Modeler
After configuring the DSN, it's time to connect to it in IBM SPSS Modeler:
- Launch IBM SPSS Modeler, log in, and create a new stream.
- From the Sources palette, locate the Database node, and drag it onto the canvas.
- Double-click the Database node to open the configuration dialog. Select
, browse to select the configured DSN, then click OK. - In the Database dialog, browse to select the table(s) you’d like to import, preview the data, and click OK to finalize.
![IBM SPSS Modeler Home screen](../articles/odbc-spss-modeler-03.jpg)
![IBM SPSS Modeler Canvas](../articles/odbc-spss-modeler-04.jpg)
![IBM SPSS Modeler Database Connections (Salesforce is shown)](../articles/odbc-spss-modeler-05.jpg)
You are now ready to process and analyze the Zuora data data in IBM SPSS Modeler.
Process Data: Filter, Categories, and Model
Once the tables are imported, you can refine, filter, categorize, and model your Zuora data data in SPSS Modeler:
- Filtering: Double-click your Database connection, go to the Filter section, and select/deselect fields to focus on relevant data. This improves processing speed and model accuracy.
- Set Data Types and Roles: Categorize your fields and assign roles to each data type by navigating to the Types section.
- Perform a Basic Analysis: Drag and drop the Analysis node next to your Database node, connect them, and click the Play button to run the stream and analyze the data.
![IBM SPSS Modeler Data Filtering (Salesforce is shown)](../articles/odbc-spss-modeler-07.jpg)
![IBM SPSS Modeler Data Types Categorization (Salesforce is shown)](../articles/odbc-spss-modeler-08.jpg)
You have now performed a simple analysis, enabling SPSS Modeler to process and display insights from your database.
Unlock the Potential of Your Zuora Data with CData
With the CData ODBC Driver for Zuora, connecting Zuora data data to IBM SPSS Modeler is seamless. Start your free trial today and unlock the full potential of your real-time data for advanced analytics and decision-making.