Schedule automated tasks
Task Scheduler
The Timeseries Refinery includes a built-in task scheduler that lets you integrate your own Python scripts with ease. Configure parameters directly through the user interface and schedule tasks using predefined settings — streamlining automation across your workflows.
Task Scheduler
Automate Data Workflows End-to-End
Trigger data ingestion, validation, transformation, calibration, forecasting or export tasks automatically—without manual intervention. With built-in scheduling, your time series processes run on autopilot. Meet SLAs for your time series data products by scheduling updates, validations, and exports in sync with business needs—ensuring trusted, on-time delivery to downstream consumers.
Task Scheduler
Improve Reliability with Monitoring
Built-in scheduling can include monitoring and logging, reducing the risk of silent failures and making your workflows more resilient and observable.
Task Scheduler
Simplify Operations with One Integrated Tool
Avoid the complexity of managing external schedulers or orchestrators. By embedding scheduling directly in the platform, you streamline your architecture and reduce operational overhead.
Task Scheduler
Accelerate Development and Deployment
With scheduling embedded in the same UI or API as the data platform, users can quickly set up and manage jobs without relying on DevOps or external systems—speeding up time-to-value.
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References
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