Build Oracle Sales-Connected Dashboards in Redash

Ready to get started?

Learn more or sign up for a free trial:

CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for Oracle Sales data and build visualizations and dashbaords from Oracle Sales data in Redash.

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Oracle Sales data for visualizations, dashboards, and more. This article shows how to create a virtual database for Oracle Sales and build visualizations from Oracle Sales data in Redash.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for Oracle Sales, allowing you to easily build visualizations from Oracle Sales data in Redash. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Oracle Sales, leveraging server-side processing to quickly return Oracle Sales data.

Create a Virtual MySQL Database for Oracle Sales Data

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

  1. Log into Connect Cloud and click Databases.
  2. Select "Oracle Sales" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Oracle Sales.

    Oracle Sales uses Basic authentication over SSL; after setting the following connection properties, you are ready to connect:

    • Username: Set this to the user name that you use to log into your Oracle Cloud service.
    • Password: Set this to your password.
    • HostURL: Set this to the Web address (URL) of your Oracle Cloud service.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to build visualizations in Tableau Online.

Visualize Oracle Sales Data in Tableau Online

The steps below outline creating a new data source in Redash based on the virtual Oracle Sales database in Connect Cloud and building a simple visualization from the data.

Create a New Data Source

  1. Log into Redash, click on your profile and click "Data Sources"
  2. Click the " New Data Source" button
  3. Select "MySQL (Amazon RDS)" as the Data Source Type (CData Connect uses SSL, which the standard MySQL connection in Redash does not support)
  4. On the configuration tab, set the following properties:
    • Name: Name the data source (e.g. Oracle Sales (CData Connect))
    • Host: The full URL to your CData Connect instance (e.g. https://myinstance.cdatacloud.net)
    • Port: The port of the CData Connect MySQL endpoint (e.g. 3306)
    • User: A CData Connect user
    • Password: The password for the above user
    • Database name: The name of the virtual database for Oracle Sales (e.g. OracleSalesCloud1)
    • Click the checkbox to Use SSQL
  5. Click Create
  6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our Oracle Sales data.

Create a Oracle Sales Data Visualization

  1. Click Create -> New Query
  2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
  3. Write a SQL statement to retrieve the data, for example:
    SELECT OptyId, Name FROM Opportunities
  4. Click the "Execute" button to load Oracle Sales data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Oracle Sales data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Oracle Sales Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Oracle Sales data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Cloud page.