Create Reports from Azure Data Catalog Data in Google Data Studio

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for Azure Data Catalog 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 CData Connect Cloud, you get instant, cloud-to-cloud access to Azure Data Catalog data for visualizations, dashboards, and more. This article shows how to create a virtual database for Azure Data Catalog and build reports from Azure Data Catalog data in Google Data Studio.

CData Connect Cloud provides a pure cloud-to-cloud interface for Azure Data Catalog, allowing you to easily build reports from live Azure Data Catalog 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, CData Connect Cloud pushes all supported query operations (filters, JOINs, etc) directly to Azure Data Catalog, leveraging server-side processing to quickly return Azure Data Catalog data.

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


Connect to Azure Data Catalog from Connect Cloud

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 "Azure Data Catalog" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Azure Data Catalog.

    You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

      CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

  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 Azure Data Catalog data from Google Data Studio.

Visualize Live Azure Data Catalog Data in Google Data Studio

The steps below outline connecting to CData Connect Cloud from Google Data Studio to create a new Azure Data Catalog 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 Connect Cloud Connector.
  2. Authorize the Connector to connect to an external service (your Connect Cloud instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Connect Cloud instance.
    • Username: myinstance/username
    • Password: your Connect Cloud password
  4. Select a Database (e.g. AzureDataCatalog1) and click Next.
  5. Select a Table (e.g. Tables) 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 Connect Cloud instance (server address, port, username, and password).

SQL Access to Azure Data Catalog Data from Cloud Applications

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

Try CData Connect Cloud and get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.