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CData Connect Server

Build Oracle-Connected Dashboards in Redash



Use CData Connect Server to create a virtual SQL Server Database for Oracle data and build visualizations and dashbaords from Oracle 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 Server, you get instant, cloud-to-cloud access to Oracle data for visualizations, dashboards, and more. This article shows how to create a virtual database for Oracle and build visualizations from Oracle data in Redash.

CData Connect Server provides a pure SQL Server interface for Oracle, allowing you to easily build reports from live Oracle data in Redash — without replicating the data to a natively supported database. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Oracle, leveraging server-side processing to quickly return the requested Oracle data.

Create a Virtual SQL Server Database for Oracle Data

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

  1. Login to 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.

With the virtual database created, you are ready to connect to Oracle data from Redash.

Visualize Oracle Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Oracle database in Connect Server 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 "Microsoft SQL Server" as the Data Source Type
  4. On the configuration tab, set the following properties:
    • Name: Name the data source (e.g. Oracle (CData Connect))
    • Host: The full URL to your CData Connect instance (e.g. https://connect_server_url)
    • Port: The port of the CData Connect SQL Server endpoint (e.g. 1433)
    • User: A CData Connect user
    • Password: The password for the above user
    • Database name: The name of the virtual database for Oracle (e.g. OracleOCI1)
    • 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 data.

Create a Oracle 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 CompanyName, City FROM Customers WHERE Country = US
  4. Click the "Execute" button to load Oracle data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Oracle data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Oracle Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Oracle 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 Server page.