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Create Reports from HPCC Systems Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for HPCC Systems 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 HPCC Systems data for visualizations, dashboards, and more. This article shows how to create a virtual database for HPCC Systems and build reports from HPCC Systems data in Google Data Studio.

The CData Cloud Hub provides a pure cloud-to-cloud interface for HPCC Systems, allowing you to easily build reports from live HPCC Systems 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 HPCC Systems, leveraging server-side processing to quickly return HPCC Systems 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 HPCC Systems 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 "HPCC Systems" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to HPCC Systems.

    To connect, set the following connection properties: Set URL to the machine name or IP address of the server and the port the server is running on, for example, https://server:port. The User and Password are required to authenticate to the HPCC Systems cluster specified in the URL. Note that LDAP authentication is not currently supported by our ODBC driver.

    Set Version to the WsSQL Web server version. Note that if you have not already done so, you will need to install the WsSQL service on the HPCC Systems server. The WsSQL Web service is used to interact with the underlying HPCC Systems platform.

    Set Cluster to the target cluster.

  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 HPCC Systems data from Google Data Studio.

Visualize Live HPCC Systems Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new HPCC Systems 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. HPCC1) and click Next.
  5. Select a Table (e.g. hpcc::test::orders) 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 HPCC Systems Data from Cloud Applications

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

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