Build Azure Table-Connected Dashboards in Redash

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CData Connect



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

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

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

    Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.

  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 Table Data in Tableau Online

The steps below outline creating a new data source in Redash based on the virtual Azure Table 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 Table (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 Table (e.g. AzureTables1)
    • 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 Table data.

Create a Azure Table 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 Name, Price FROM NorthwindProducts
  4. Click the "Execute" button to load Azure Table data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Azure Table data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Azure Table Data from Cloud Applications

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