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Create Reports from FedEx Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for FedEx data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. 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 reports from FedEx data in Google Data Studio.

The CData Cloud Hub provides a pure cloud-to-cloud interface for FedEx, allowing you to easily build reports from live FedEx data in Google Data Studio — without replicating the data. As you build visualizations, Google Data Studio generates queries to gather data. Using optimized data processing out of the box, the CData Cloud Hub pushes all supported query operations (filters, JOINs, etc) directly to FedEx, leveraging server-side processing to quickly return FedEx data.

This article requires a CData Cloud Hub instance and the CData Cloud Hub Connector for Google Data Studio. Get more information on the CData Cloud Hub and sign up for a free trial at https://www.cdata.com/cloudhub.


Connect to FedEx from the Cloud Hub

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

  1. Log into 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 connect to FedEx data from Google Data Studio.

Visualize Live FedEx Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new FedEx data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source, and choose CData Cloud Hub Connector.
  2. Authorize the Connector to connect to an external service (your Cloud Hub instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Cloud Hub instance.
    • Username: myinstance/username
    • Password: your Cloud Hub password
  4. Select a Database (e.g. FedEx1) and click Next.
  5. Select a Table (e.g. Senders) and click Next.
  6. Click Connect.
  7. If needed, modify columns, click Create Report, and add the data source to the report.
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.

Optional: Connect with the MySQL Connector

If you need to work with data from a custom SQL query, you can use the MySQL Connector. Connect using the server information for your Cloud Hub instance (server address, port, username, and password).

SQL Access to FedEx Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live FedEx data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating FedEx data.

Try the CData Cloud Hub and get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.