Data Science
Data Science provides inventory and run visibility for OCI Data Science projects, jobs, job runs, pipelines, and pipeline runs represented in Galaxy Resource Analytics. This subject area enables tracking Data Science execution activity across tenancy, compartment, region, project, lifecycle state, creator, and time-based activity.
Business Questions:
The Subject Area can answer following business questions:
- How many Data Science job runs exist by tenancy, compartment, region, or project?
- How many Data Science pipeline runs exist by tenancy, compartment, region, or project?
- How have job run and pipeline run counts changed over time?
- Which job runs or pipeline runs are active, failed, succeeded, or in another lifecycle state?
- Which projects, jobs, or pipelines are generating the most run activity?
- Which compartments contain recently started or recently finished Data Science runs?
Logical Model
The model centers on Fact - Data Science Job Run and Fact - Data Science Pipeline Run. Each fact joins to its run details, parent resource dimensions, Data Science project, and shared resource analytics dimensions.
Data Science Job Run
Data Science Pipeline Run
Metric Details
| Fact Folder | Metric | Definition |
|---|---|---|
| Fact - Data Science Job Run | Resource Count | SUM visible presentation metric. |
| Fact - Data Science Job Run | Data Science Job Run Count | COUNT visible presentation metric. |
| Fact - Data Science Pipeline Run | Resource Count | SUM visible presentation metric. |
| Fact - Data Science Pipeline Run | Data Science Pipeline Run Count | COUNT visible presentation metric. |