dataopsly Features¶
In addition to providing a hosted architecture for running dbt™ across your organization, dataopsly comes with an amazing features listed below:
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dataopsly Shell script *
Use the dataopsly Shell script to develop, test, run, and up the container services and as well manage your containers within.
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dbt™ Cloud Import *
Import your environments, projects, and jobs from dbt™ cloud to your dataopsly easily and hazzle free.
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Manage Environments
Import your environments, projects, and jobs from dbt™ cloud to your dataopsly easily and hazzle free.
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Schedule and Run dbt™ Jobs
Create custom schedules to run your production jobs. Schedule jobs by day of the week, time of day, or a recurring interval.
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Run Graphs
On triggering jobs, now we can view the stats graph of whether the job is completed/error/cancelled. Refer the video from the link below 1:36
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Permissions and Groups
While having a multi user experience with support person, testing person and many other, we have a permissions area to make the permission of the viewability and editability of that particular person using the respective permissions.
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Snowflake OAuth *
dataopsly now provides user to login through snowflake making it easier and secure for the customers.
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Single Sign On(SSO & Oauth) *
dataopsly now provides user to login through different sso and oauth providers.
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Notifications
Notifications are now available as a separate page, where users can view their notiifications which was received as mail, and make it mark as read or delete and do the usual process for any notifications page.
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Import from YAML *
Importing
environments,projectsandjobsfrom YAML file is now available in dataopsly where users can import the YAML file and dataopsly takes care of creating theenvironments,projectsandjobsin the app.
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Export as YAML *
Exporting
environments,projectsandjobsfrom YAML file is now available in dataopsly where users can export the YAML file of theirenvironments,projectsandjobsin the app.
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AI model
In dataopsly, we offer AI support for the failed model error detection and rectification
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Environment Variables
Env variables in dataopsly is basically a variable using which we can refer to it in your projects using jinja template.
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Column Level Lineage
In dataopsly, now after docs generate, column level lineage can be viewed for both manifest and catalog
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CI Job
You can set up continuous integration (CI) jobs to run when someone opens a new pull request (PR) in your dbt Git repository. By running and testing only modified models, dbt Cloud ensures these jobs are as efficient and resource conscientious as possible on your data platform.
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(*)These features are available only on selected plans.