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CData Connect Server

Build SQL Server-Connected Dashboards in Redash



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

CData Connect Server provides a pure SQL Server interface for SQL Server, allowing you to easily build reports from live SQL Server 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 SQL Server, leveraging server-side processing to quickly return the requested SQL Server data.

Create a Virtual SQL Server Database for SQL Server 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 "SQL Server" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to SQL Server.

    Connecting to Microsoft SQL Server

    Connect to Microsoft SQL Server using the following properties:

    • Server: The name of the server running SQL Server.
    • User: The username provided for authentication with SQL Server.
    • Password: The password associated with the authenticating user.
    • Database: The name of the SQL Server database.

    Connecting to Azure SQL Server and Azure Data Warehouse

    You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

    • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
    • User: The name of the user authenticating to Azure.
    • Password: The password associated with the authenticating user.
    • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.
  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 SQL Server data from Redash.

Visualize SQL Server Data in Redash

The steps below outline creating a new data source in Redash based on the virtual SQL Server 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. SQL Server (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 SQL Server (e.g. SQL1)
    • 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 SQL Server data.

Create a SQL Server 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 ShipName, Freight FROM Orders
  4. Click the "Execute" button to load SQL Server data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from SQL Server data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to SQL Server Data from Cloud Applications

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