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Build FedEx Visualizations in Tableau Online

Use the CData Cloud Hub to create a virtual MySQL Database for FedEx data and build visualizations in Tableau Online.

Tableau Online is an analytics platform fully hosted in the cloud. When paired with the CData Cloud Hub, you get instant, cloud-to-cloud access to FedEx data for visualizations, dashboards, and more. This article shows how to create a virtual database for FedEx and build visualizations from FedEx data in Tableau Online.

The CData Cloud Hub provides a pure MySQL, cloud-to-cloud interface for FedEx, allowing you to easily build visualizations from live FedEx data in Tableau Online without installing connectors or publishing worksheets and data sources from Tableau Desktop. As you build visualizations, Tableau Online generates SQL queries to gather data. Using optimized data processing out of the box, the CData Cloud Hub pushes all supported SQL operations (filters, JOINs, etc) directly to FedEx, leveraging server-side processing to quickly return FedEx data.

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

    There are five pieces of information needed in order to authenticate its actions with the FedEx service. This information is below.

    • Server: This controls the URL where the requests should be sent. Common testing options for this are: "https://gatewaybeta.fedex.com:443/xml", "https://wsbeta.fedex.com:443/xml", "https://gatewaybeta.fedex.com:443/web-service", and "https://wsbeta.fedex.com:443/web-service"
    • DeveloperKey: This is the identifier part of the authentication key for the sender's identity. This value will be provided to you by FedEx after registration.
    • Password: This is the secret part of the authentication key for the sender's identity. This value will be provided to you by FedEx after registration.
    • AccountNumber: This valid 9-digit FedEx account number is used for logging into the FedEx server.
    • MeterNumber: This value is used for submitting requests to FedEx. This value will be provided to you by FedEx after registration.
    • 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.

    The Cache Database

    Many of the useful tasks available from FedEx require a lot of data. To ensure this data is easy to input and recall later, utilizes a cache database to make these requests. You must set the cache connection properties:

    • CacheProvider: The specific database you are using to cache with. For example, org.sqlite.JDBC.
    • CacheConnection: The connection string to be passed to the cache provider. For example, jdbc:sqlite:C:\users\username\documents\fedexcache.db
  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 Tableau Online.

Visualize Live FedEx Data in Tableau Online

The steps below outline creating a new data source in Tableau Online based on the virtual FedEx database in Cloud Hub and building a simple visualization from the data.

  1. Log into Tableau Online, select a project, and create a new workbook.
  2. In the new workbook, choose the MySQL Connector from the data wizard and fill in the values for your Cloud Hub instance.
  3. Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINed tables as needed).
  4. Select Dimensions and Measures and configure your visualization.

SQL Access to FedEx Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live FedEx data from your Tableau Online workbook. You can create new visualizations, build dashboards, and more, with no need to publish data sources and workbooks from Tableau Desktop. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Online, refer to our Cloud Hub page.