My Hours to Amazon QuickSight Integration
AI-first ETL from My Hours into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads My Hours into Amazon QuickSight
Datrise syncs My Hours's time logs, projects, tasks, clients, team members, and billable rates into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
My Hours: Time tracking and billable hours for projects.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How My Hours entities map to Amazon QuickSight
| My Hours entity | Amazon QuickSight object | Notes |
|---|---|---|
| time logs | my_hours_time_logs | id PK · custom fields → flattened columns for analyses |
| 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 Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the My Hours to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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