Getting started with Cumulocity DataHub
The Getting started section describes how to access Cumulocity DataHub and walks you through the main UI features.
The Getting started section describes how to access Cumulocity DataHub and walks you through the main UI features.
You access Cumulocity DataHub via a web browser. It has been tested with the following web browsers:
After the Cumulocity DataHub services have been subscribed for your tenant, you must log into your tenant, using your Cumulocity account. In the application switcher you will find the Cumulocity DataHub button. By clicking the button you will be taken to the home page of Cumulocity DataHub. The UI provides management and monitoring capabilities for Cumulocity DataHub. Alternatively your tenant administrator can give you the URL directly navigating to Cumulocity DataHub, which requires a login as well.
As working with Cumulocity DataHub requires you to have corresponding Cumulocity DataHub permissions, you will get a warning after login if you lack those permissions.
When you want to log out, click the User button at the right of the top bar and select Logout from the context menu.
In addition to your Cumulocity account, you have a separate account (which is created during the initial configuration) for accessing Dremio. Contact your administrator for the Dremio account credentials. If required for your use case your administrator can also create additional Dremio users. On the Home page under Next steps, there is a direct link to the Dremio UI.
Cumulocity DataHub provides the UI for managing and monitoring your offloading pipelines. The main navigation bar at the left provides links to the relevant pages. The access to these pages is restricted and depends on corresponding user roles/permissions as defined in Defining Cumulocity DataHub permissions and roles.
Page | Description | Required role | Prerequisites |
---|---|---|---|
Home | Get an introduction to Cumulocity DataHub, access quick links with related functionality, or investigate the current offloading status | DataHub Reader, DataHub Administrator, or DataHub Manager | - |
Offloading | Configure and manage your offloading pipelines | DataHub Administrator or DataHub Manager | - |
Auditing / Query log | View the query log | DataHub Reader, DataHub Administrator, or DataHub Manager | Tracking of usage statistics must be enabled |
Auditing / System log | View the system log | DataHub Administrator | - |
Settings / Initial configuration | Set up Cumulocity DataHub | DataHub Administrator | - |
Settings / Dremio users | Manage Dremio users | DataHub Administrator | - |
Settings / Microsoft Power BI | Set up connection to Microsoft Power BI | DataHub Administrator | - |
Microsoft Power BI | View Microsoft Power BI reports | DataHub Reader, DataHub Administrator, or DataHub Manager | Connection to Microsoft Power BI has been set up |
Administration / Usage statistics | View usage statistics | DataHub Reader, DataHub Administrator, or DataHub Manager | Tracking of usage statistics must be enabled |
Administration / Compaction status | View the latest compaction job status of your offloading pipelines | DataHub Administrator | - |
Administration / System status | Check system status | DataHub Administrator | - |
The Home screen is the starting point for working with Cumulocity DataHub. Next Steps provides a collection of links which directly navigate you, for example, to the Dremio UI or to the offloading configuration form. Info provides for the different connectivity options of Cumulocity DataHub, like ODBC or JDBC, the corresponding connection details.
Once you have offloading pipelines configured, the Home screen provides an offloading status overview. The overview is based on the latest execution of each currently configured offloading pipeline. The latest execution has either failed or succeeded or it is still running. Click Reload in the action bar to reload the status and refresh the overview. Running and failed pipelines are available in tables. Clicking on a table entry navigates you to the job history of the corresponding offloading pipeline. Successful pipeline executions are depicted in a graph, wich has the execution time on the x-axis and the number of offloading records on the y-axis. You can use that graph to find offloading pipelines with an unexpected behavior. For example, the pipeline offloads a moderate number of records, but requires a very long timespan for the execution. More details of a successful execution are shown when hovering over an entry or clicking on it, which navigates you to the job history.