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Analyze Okta Data in R


Create data visualizations and use high-performance statistical functions to analyze Okta data in Microsoft R Open.

Access Okta data with pure R script and standard SQL. You can use the CData ODBC Driver for Okta and the RODBC package to work with remote Okta data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to Okta data and visualize Okta data in R.

Install R

You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).

Connect to Okta as an ODBC Data Source

Information for connecting to Okta follows, along with different instructions for configuring a DSN in Windows and Linux environments.

To connect to Okta, set the Domain connection string property to your Okta domain.

You will use OAuth to authenticate with Okta, so you need to create a custom OAuth application.

Creating a Custom OAuth Application

From your Okta account:

  1. Sign in to your Okta developer edition organization with your administrator account.
  2. In the Admin Console, go to Applications > Applications.
  3. Click Create App Integration.
  4. For the Sign-in method, select OIDC - OpenID Connect.
  5. For Application type, choose Web Application.
  6. Enter a name for your custom application.
  7. Set the Grant Type to Authorization Code. If you want the token to be automatically refreshed, also check Refresh Token.
  8. Set the callback URL:
    • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
    • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
  9. In the Assignments section, either select Limit access to selected groups and add a group, or skip group assignment for now.
  10. Save the OAuth application.
  11. The application's Client Id and Client Secret are displayed on the application's General tab. Record these for future use. You will use the Client Id to set the OAuthClientId and the Client Secret to set the OAuthClientSecret.
  12. Check the Assignments tab to confirm that all users who must access the application are assigned to the application.
  13. On the Okta API Scopes tab, select the scopes you wish to grant to the OAuth application. These scopes determine the data that the app has permission to read, so a scope for a particular view must be granted for the driver to have permission to query that view. To confirm the scopes required for each view, see the view-specific pages in Data Model < Views in the Help documentation.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Windows

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Linux

If you are installing the CData ODBC Driver for Okta in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData Okta Source] Driver = CData ODBC Driver for Okta Description = My Description Domain = dev-44876464.okta.com

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Load the RODBC Package

To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.

After installing the RODBC package, the following line loads the package:

library(RODBC)

Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.

library(checkpoint) checkpoint("2016-01-01")

Connect to Okta Data as an ODBC Data Source

You can connect to a DSN in R with the following line:

conn <- odbcConnect("CData Okta Source")

Schema Discovery

The driver models Okta APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:

sqlTables(conn)

Execute SQL Queries

Use the sqlQuery function to execute any SQL query supported by the Okta API.

users <- sqlQuery(conn, "SELECT Id, ProfileFirstName FROM Users WHERE Status = 'Active'", believeNRows=FALSE, rows_at_time=1)

You can view the results in a data viewer window with the following command:

View(users)

Plot Okta Data

You can now analyze Okta data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:

par(las=2,ps=10,mar=c(5,15,4,2)) barplot(users$ProfileFirstName, main="Okta Users", names.arg = users$Id, horiz=TRUE)

Ready to get started?

Download a free trial of the Okta ODBC Driver to get started:

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Learn more:

Okta Icon Okta ODBC Driver

The Okta ODBC Driver is a powerful tool that allows you to connect with live data from Okta, directly from any applications that support ODBC connectivity.

Access Okta data like you would a database - read, write, and update Okta 0, etc. through a standard ODBC Driver interface.

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