Create Apps from Oracle Data in Qlik Sense Cloud

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. The CData Connect Server creates a virtual database for Oracle and can be used to generate an OData API (natively consumable in Qlik Sense Cloud) for Oracle. By pairing Qlik Sense Cloud with the CData Connect Server, you get live connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect Server from Qlik Sense Cloud as you would any other REST service and get instant, live access to your Oracle data.

In this article, we walk through two connections:

1. Connecting to Oracle in Connect Server
2. Connecting to Connect Server from Qlik Sense Cloud to create a model and build a simple dashboard

Configure Connect Server to Connect to Oracle

To connect to Oracle data from Qlik Sense Cloud, you need to configure Oracle access from your Connect Server instance. This means creating a user, connecting to Oracle, adding OData endpoints, and (optionally) configuring CORS.

Add a Connect Server User

Create a Connect Server User to connect to Oracle from Qlik Sense Cloud.

1. Click Users -> Add
2. Configure a User
3. Click Save Changes and make note of the Authtoken for the new user

Connect to Oracle from Connect Server

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Open Connect Server and click Connections
2. Select "Oracle" from Available Data Sources
3. Enter the necessary authentication properties to connect to Oracle.
   
   

   To connect to Oracle, you'll first need to update your PATH variable and ensure it contains a folder location that includes the native DLLs. The native DLLs can be found in the lib folder inside the installation directory. Once you've done this, set the following to connect:

   • Port: The port used to connect to the server hosting the Oracle database.
   • User: The user Id provided for authentication with the Oracle database.
   • Password: The password provided for authentication with the Oracle database.
   • Service Name: The service name of the Oracle database.
4. Click Save Changes
5. Click Privileges -> Add, and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal)

Add Oracle OData Endpoints in Connect Server

After connecting to Oracle, create OData Endpoint for the desired table(s).

1. Click OData -> Tables -> Add Tables
2. Select the Oracle database
3. Select the table(s) you wish to work with and click Next
4. (Optional) Edit the resource to select specific fields and more
5. Save the settings

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in OData -> Settings.

• Enable cross-origin resource sharing (CORS): ON
• Allow all domains without '*': ON
• Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
• Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

Create a Qlik Sense App from Oracle Data

With the connection to Oracle and OData endpoints created, we are ready to add Oracle data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

1. Log into your Qlik Sense instance and click the button to create a new app
2. Name and configure the new app and click "Create"
3. In the workspace, click to open the new app
4. Click to add data from files and other sources
5. Select the REST connector and set the configuration properties. For the most part, you will use the default values, with the following exceptions:
   • URL: Set this to the API endpoint for your Oracle table, using the @CSV URL parameter to ensure a CSV response (i.e. CONNECT_SERVER_URL/api.rsc/OracleOCI_Customers?@CSV)
   • Authentication Schema: Set this to "Basic"
   • User Name: Set this to the user name you configured above
   • Password: Set this to the Authtoken for the above user
6. Click "Create" to query Connect Server for the Oracle data
7. Check "CSV has header" and under "Tables," select "CSV_source"
8. Select columns and click "Add data"

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. Click "Generate insights" to let Qlik analyze your data. Otherwise, you can build custom visualizations, reports, and dashboards based on your Oracle data.

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Oracle data. For more information on creating OData feeds from Oracle (and more than 200 other data sources), visit the Connect Server page. Sign up for a free trial and start working with live Oracle data in Qlik Sense Cloud.