OData Export
Overview
Seeq has an OData export feature that allows trends and calculations to be exported to Spotfire, Tableau, or Microsoft applications Excel and Power BI.
The OData export can be read directly by these software programs for use in dashboards or for further analysis.
Users can authenticate the OData feed using their Seeq username and password. Alternatively, if Seeq is set up with Windows Auth and a user is reading an OData export in a Windows product (e.g. Excel, PowerBI), the user can authenticate the OData feed seamlessly.
Accessing the OData Export
The “Export to OData” tool panel can be accessed from the Tools menu in an Analysis, within the “Import/Export” section.
Configuring the OData Export
Name: Provide a relevant name that will be used in identifying the export upon importing to the new application. The name provided here will be appended with a unique identifier.
Time range options: Select a Fixed time range or select Auto update for a moving time window.
Auto Update and $RangeStart/$RangeEnd are premium features that require a Seeq Enterprise license.
Auto update: When this option is selected, the time range is adjusted to end at ‘now’ whenever the export URL is queried by your OData client. The originally-selected duration is used to determine the start date. The auto update "scheduling" portion needs to be configured in the BI tool.
🆕 Coming soon in R58: The OData service will support URL parameters
$RangeStartand$RangeEnd. When the range parameters are specified, the originally-selected time range is ignored (the specified time zone is still respected).Be sure you’ve specified a custom Sample Table Grid to ensure consistent sample frequencies are output.
Supported date-time formats include ISO-8601 with offset (
2020-02-25T14:15:30+01:00), ISO-8601 without offset (2020-02-25T14:15:30, uses the configured time zone), and Microsoft Excel default US format (2/25/2020 2:15:30 PM, uses the configured time zone).For example, this URL requests data for all of January 2022 in the configured time zone.
https://mycompany.seeq.site/odata.svc/ExampleExport_DataSet?$rangestart=2022-01-01T00:00:00&$rangeend=2022-01-31T23:59:59
Time range: Specify the time range by adjusting the start, end and duration fields.
Time Zone: This is the time zone to be used for all times within the export. This setting defaults to that of the source worksheet. If the selected zone observes daylight savings time, ambiguities may occur at these events.
Sample table grid: The grid option determines the timestamps that will be reported in the sample table.
Automatic: Looks at the signal with the most frequent sampling rate and outputs samples for each signal with a timestamp interval based on it. For example, if your most frequent sampling rate is 5 minutes, the values exported will be separated by 5 minutes. If the number of samples to be exported exceeds 1 million, Seeq will adjust the gridding period to export only 1 million rows of data.
Custom: Samples are segmented according to the grid period you set. For example, a grid period of 1 hour leads to values with timestamps separated by an hour.
Override Grid Origin: The specific date and time to orient the grid period. For example, this allows a weekly grid to be calculated every Monday at 9:00 AM rather than the default of Sunday at midnight.
Signals: Modify the list to only include the signals desired in the export.
Conditions: Modify the list to only include the conditions desired in the export.
Note: The columns output by the OData export are based on the signal and condition names & asset paths. If any duplicate columns are present, it can cause errors for some clients. If exports with duplicate columns are defined, archive those exports and clear your client cache to fix the issue.
Exporting to Other Applications
From the 'Export to an OData client' window, select the desired import application from the menu at the bottom for detailed instructions.
Then copy the desired data export link.
Example Importing to Microsoft Power BI (Authenticate Using Seeq Username and Password)
Step 1. Open Microsoft Power BI and navigate to the "Get Data" dropdown → OData option selection (note it must be the desktop version of the application):
Step 2. Insert the export URL and enter your Seeq login credentials. Either an Access Key or your regular username+password are acceptable. Access Keys must be used if you log into Seeq using Single Sign-On such as Azure Active Directory or Okta.
Example Importing to Microsoft Power BI (Authenticate Using Passwordless Windows Auth)
Step 1. Open Microsoft Power BI and navigate to the "Get Data" dropdown → OData option selection (note it must be the desktop version of the application):
Step 2. Insert the export URL, then click Windows on the left sidebar, select "Use my current credentials", and click Connect.
Note that this method is only supported for systems using the Windows Auth Connector or the LDAP Connector to provide passwordless authentication for users, and the user logged into Windows must match a Seeq user who has access to the exported content. If you are using an authentication provider that is not currently supported, please utilize Access Keys as credentials for the OData Export.
Summary
Once you have found insights from your engineering investigation with your time-series data in Seeq, the OData Export feature provides an easy way to integrate your results into your other business applications, such as dashboards and business-specific analysis tools.