My Hours to Sisense Integration
AI-first ETL from My Hours into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads My Hours into Sisense
Datrise syncs My Hours's time logs, projects, tasks, clients, team members, and billable rates into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
My Hours: Time tracking and billable hours for projects.
Sisense: Analytics platform with elastic data models and embedded analytics.
How My Hours entities map to Sisense
| My Hours entity | Sisense object | Notes |
|---|---|---|
| time logs | my_hours_time_logs | id PK · custom fields → flattened columns for the cube |
| 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 Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the My Hours to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
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