Build Azure Analysis Services-Connected Dashboards in Redash

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for Azure Analysis Services data and build visualizations and dashbaords from Azure Analysis Services 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 Azure Analysis Services data for visualizations, dashboards, and more. This article shows how to create a virtual database for Azure Analysis Services and build visualizations from Azure Analysis Services data in Redash.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for Azure Analysis Services, allowing you to easily build visualizations from Azure Analysis Services 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 Azure Analysis Services, leveraging server-side processing to quickly return Azure Analysis Services data.

Create a Virtual MySQL Database for Azure Analysis Services 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 "Azure Analysis Services" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Azure Analysis Services.

    To connect to Azure Analysis Services, set the Url property to a valid server, for instance, asazure://southcentralus.asazure.windows.net/server, in addition to authenticating. Optionally, set Database to distinguish which Azure database on the server to connect to.

    Azure Analysis Services uses the OAuth authentication standard. OAuth requires the authenticating user to interact with Azure Analysis Services using the browser. You can connect without setting any connection properties for your user credentials. See the Help documentation for more information.

  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 Azure Analysis Services Data in Tableau Online

The steps below outline creating a new data source in Redash based on the virtual Azure Analysis Services 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. Azure Analysis Services (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 Azure Analysis Services (e.g. AAS1)
    • 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 Azure Analysis Services data.

Create a Azure Analysis Services 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 Country, Education FROM Customer WHERE Country = 'Australia'
  4. Click the "Execute" button to load Azure Analysis Services data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Azure Analysis Services data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Azure Analysis Services Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Azure Analysis Services 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.