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Create Reports from Oracle Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for Oracle data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. When paired with the CData Cloud Hub, 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 reports from Oracle data in Google Data Studio.

The CData Cloud Hub provides a pure cloud-to-cloud interface for Oracle, allowing you to easily build reports from live Oracle data in Google Data Studio — without replicating the data. As you build visualizations, Google Data Studio generates queries to gather data. Using optimized data processing out of the box, the CData Cloud Hub pushes all supported query operations (filters, JOINs, etc) directly to Oracle, leveraging server-side processing to quickly return Oracle data.

This article requires a CData Cloud Hub instance and the CData Cloud Hub Connector for Google Data Studio. Get more information on the CData Cloud Hub and sign up for a free trial at https://www.cdata.com/cloudhub.


Connect to Oracle from the Cloud Hub

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

  1. Log into Cloud Hub and click Databases.
  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 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 connect to Oracle data from Google Data Studio.

Visualize Live Oracle Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new Oracle data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source, and choose CData Cloud Hub Connector.
  2. Authorize the Connector to connect to an external service (your Cloud Hub instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Cloud Hub instance.
    • Username: myinstance/username
    • Password: your Cloud Hub password
  4. Select a Database (e.g. OracleOCI1) and click Next.
  5. Select a Table (e.g. Customers) and click Next.
  6. Click Connect.
  7. If needed, modify columns, click Create Report, and add the data source to the report.
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.

Optional: Connect with the MySQL Connector

If you need to work with data from a custom SQL query, you can use the MySQL Connector. Connect using the server information for your Cloud Hub instance (server address, port, username, and password).

SQL Access to Oracle Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Oracle data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Oracle data.

Try the CData Cloud Hub and get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.