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Build Interactive Dashboards from UPS Data in Amazon QuickSight

Create a virtual MySQL database for UPS data in CData Cloud Hub and import UPS data into Amazon QuickSight SPICE to build interactive dashboards.

Amazon QuickSight allows users to build interactive dashboards in the cloud. When paired with the CData Cloud Hub, you get cloud-to-cloud access to UPS data for visualizations, dashboards, and more. This article shows how to create a virtual database for UPS in Cloud Hub and build dashboards in Amazon QuickSight with access to UPS data.

The CData Cloud Hub provides a pure MySQL, cloud-to-cloud interface for UPS, allowing you to easily build visualizations from UPS data in Amazon QuickSight. By importing your UPS data into the Amazon QuickSight "Super-fast, Parallel, In-memory Calculation Engine" (SPICE), you can leverage the powerful data processing features of the Amazon ecosystem to build responsive dashboards. And with the ability to schedule refreshes of the data stored in SPICE, you control how up-to-date your dashboards are.

Create a Virtual MySQL Database for UPS Data

CData Cloud Hub uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Cloud Hub and click Databases.
  2. Select "UPS" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to UPS.

    The driver uses five pieces of information in order to authenticate its actions with the UPS service.

    • Server: This controls the URL where the requests should be sent. Common testing options for this are: https://wwwcie.ups.com/ups.app/xml and https://wwwcie.ups.com/webservices
    • AccessKey: This is an identifier that is required to connect to a UPS Server. This value will be provided to you by UPS after registration.
    • UserId: This value is used for logging into UPS. This value is the one you chose to login with when registering for service with UPS.
    • Password: This value is used for logging into UPS. This value is the one you chose to login with when registering for service with UPS.
    • AccountNumber: This is a valid 6-digit or 10-digit UPS account number.
    • PrintLabelLocation: This property is required if one intends to use the GenerateLabels or GenerateReturnLabels stored procedures. This should be set to the folder location where generated labels should be stored.
  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 Amazon QuickSight.

Import UPS Data into SPICE and Create Interactive Dashboards

The steps below outline creating a new data set based on the virtual UPS database in Cloud Hub, importing the dataset into SPICE, and building a simple visualization from the data.

  1. Log into Amazon QuickSight and click "Manage data."
  2. Click "New data set," select MySQL as the data source, configure the connection to your Cloud Hub instance, and click "Create data source."
  3. Select a table to visualize (or submit a custom SQL query for your data).
  4. Click "Edit/Preview data" to customize the data set.
  5. Select "Import to SPICE for quicker analytics" and click "Visualize."
  6. Select fields to visualize and 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 UPS Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to UPS 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 100 SaaS, Big Data, and NoSQL sources from cloud applications like Amazon QuickSight, refer to our Cloud Hub page.