Build Interactive Dashboards from Azure Data Catalog Data in Amazon QuickSight

Amazon QuickSight allows users to build interactive dashboards in the cloud. When paired with CData Connect Server, you get direct access to Azure Data Catalog data for visualizations, dashboards, and more. This article shows how to create a virtual database for Azure Data Catalog in Connect Server and build dashboards in Amazon QuickSight with access to Azure Data Catalog data.

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 Quicksight — without replicating the data to a natively supported database. As you build visualizations, Quicksight 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 Quicksight.

Import Azure Data Catalog Data into SPICE and Create Interactive Dashboards

The steps below outline creating a new data set based on the virtual Azure Data Catalog database in Connect Server, importing the dataset into SPICE, and building a simple visualization from the data.

1. Log into Amazon QuickSight and on the left panel click "Datasets"
2. Click "New dataset," select SQL Server as the data source, configure the connection to your Connect Server instance, and click "Create data source"
3. Select a table to visualize (or submit a custom SQL query for your data) and click Select.
4. Select "Import to SPICE for quicker analytics" and click "Visualize."
5. Select fields to visualize as well as a visual type.

Schedule Refreshes for SPICE Data Sets

QuickSight users can schedule refreshes for data sets that are imported into SPICE, ensuring that data being analyzed is only as old as the most recent refresh.

1. Navigate to the QuickSight home page.
2. Click "Manage data."
3. Select the data set you wish to refresh.
4. Click "Schedule refresh."
5. Click Create, configure the refresh settings (time zone, repeat frequency, and starting datetime), and click Create.

SQL Access to Azure Data Catalog Data from Applications

At this point, you have a direct connection to Azure Data Catalog data from your Amazon QuickSight dashboard. You can create new visualizations, build interactive dashboards, and more. For more information on gaining SQL access to data from more than 250 SaaS, Big Data, and NoSQL sources from applications like Amazon QuickSight, refer to our Connect Server page.