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CData Connect Server

Build Interactive Dashboards from Authorize.Net Data in Amazon QuickSight



Create a virtual SQL Server database for Authorize.Net data in CData Connect Server and import Authorize.Net data into Amazon QuickSight SPICE to build interactive dashboards.

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

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

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

    You can obtain the necessary connection properties on the Security Settings -> General Settings page after logging into your Merchant Account.

    • UseSandbox: The Authorize.Net API to be used to process transactions. If you are using a production account, this property can be left blank. If you are using a developer test account, set this to 'TRUE'.
    • LoginID: The API login Id associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions. Note that this value is not the same as the login Id that you use to log in to the Merchant Interface.
    • TransactionKey: The transaction key associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions.
  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 Authorize.Net data from Quicksight.

Import Authorize.Net Data into SPICE and Create Interactive Dashboards

The steps below outline creating a new data set based on the virtual Authorize.Net 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 Authorize.Net Data from Applications

At this point, you have a direct connection to Authorize.Net 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.