Create Azure Data Catalog-Connected Visualizations in Klipfolio

Klipfolio is an online dashboard platform for building real-time business dashboards for your team or your clients. When paired with CData Connect Server, you get instant access to Azure Data Catalog data for visualizations, reports, and more. This article shows how to create a virtual database for Azure Data Catalog in Connect Server and build visualizations from Azure Data Catalog data in Klipfolio.

CData Connect Server provides a pure SQL Server interface for Azure Data Catalog, allowing you to easily build reports from live Azure Data Catalog data in Klipfolio — without replicating the data to a natively supported database. As you build visualizations, Klipfolio 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 Azure Data Catalog, leveraging server-side processing to quickly return the requested Azure Data Catalog data.

Create a Virtual SQL Server Database for Azure Data Catalog 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 "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 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 Azure Data Catalog data from Klipfolio.

Connect to Azure Data Catalog in Klipfolio

The steps below outline connecting to CData Connect Server from Klipfolio to create a new Azure Data Catalog data source.

1. Open Klipfolio
2. Click in Data Feeds on the left panel to add a new data source.
3. Search for and select MS SQL as the Service.
4. Click "Create a custom MSSQL data source"
5. Configure the data source by setting the SQL Server connection properties:
   • Host: your instance (e.g., CONNECT_SERVER_URL)
   • Port: 1433
   • Database: your database (e.g., AzureDataCatalog1)
   • Driver: MS SQL
   • Username: your Connect Server username
   • Password: your Connect Server password
   • SQL Query: any query to retrieve data (e.g., SELECT * FROM Tables)
   • Select the checkbox to "Include column headers"
6. Click "Get data" to preview the Azure Data Catalog data before building a data model.

Build a Data Model

After retrieving the data, click "Continue." In the new window, configure your data model.

1. Confirm that the model includes all columns you wish to work with
2. Name your model
3. (optional) Set the Description
4. Set "Header in row" to 1
5. Click the toggle to "Exclude data before row" and set the value to 2
6. Click "Save data feed"

Create a Klip

With the data modeled, we are ready to create a Klip (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

1. Click "Add Metric"
2. Select a measure, placed on the y-axis, to track.
3. Select up to five dimensions/columns, for the x-axis, that you wish to visualize.
4. Click "Save metric"

SQL Access to Azure Data Catalog Data from Applications

Now you have a Klip built from live Azure Data Catalog data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating Azure Data Catalog data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Server.