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Overview
The Schedule module in skyStudio enables automated data refresh operations for your dataflows and platform processes. By configuring scheduled jobs, you can ensure your data stays current without manual intervention, supporting timely analytics and decision-making.
Key Capabilities
Automated Refresh
Set up recurring schedules to automatically refresh data imports and run platform processes. Choose from daily, weekly, or monthly intervals to match your data freshness requirements.
Flexible Scheduling Options
- Daily - Refresh data at specific times each day
- Weekly - Select specific days of the week for scheduled runs
- Monthly - Choose specific days of the month for refresh operations
Time Zone Support
Configure schedules in your preferred time zone to align with business hours and operational requirements.
Multiple Refresh Times
Add multiple refresh times within a single schedule to support different data freshness needs throughout the day.
Refresh Types
- Full Refresh - Complete refresh of all data in the dataflow
- Incremental Refresh - Update only data that has changed since the last refresh
Master Data Scheduling
Schedule identity matching and resolution processes to keep your unified profiles current and accurate.
Business Benefits
- Data Currency - Ensure analytics and reports reflect the latest information
- Operational Efficiency - Eliminate manual refresh tasks and reduce operational overhead
- Consistency - Maintain predictable data update cycles across your organization
- Resource Optimization - Schedule intensive operations during off-peak hours
Who Benefits
- Data Engineers - Automate routine data refresh operations
- Analytics Teams - Rely on consistently fresh data for reporting
- Operations Teams - Reduce manual workload through automation
- Business Users - Access up-to-date information for decision-making
