My Hours to Domo Integration
AI-first ETL from My Hours into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads My Hours into Domo
Datrise syncs My Hours's time logs, projects, tasks, clients, team members, and billable rates into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
My Hours: Time tracking and billable hours for projects.
Domo: Cloud BI platform combining data integration and executive dashboards.
How My Hours entities map to Domo
| My Hours entity | Domo object | Notes |
|---|---|---|
| time logs | my_hours_time_logs | id PK · custom fields → flattened columns for Magic ETL |
| projects | my_hours_projects | id PK · linked to my_hours_time_logs |
| tasks | my_hours_tasks | id PK · linked to my_hours_time_logs |
| clients | my_hours_clients | id PK · linked to my_hours_time_logs |
FAQ
How does Datrise handle My Hours's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the My Hours to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
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