Projects/Analytics Ecosystem
03
Production data systems
Case studyAnalytics Ecosystem
Treat analytics as a maintained production system—not a pile of scripts that happens to produce charts on a good day.
- Python
- SQL
- Warehousing
- Semantic layers
- Observability
01 / Overview
An anonymized view of the service ecosystem behind validated metrics, semantic models, dashboards, reports, alerts, and scheduled workflows.
Treat analytics as a maintained production system—not a pile of scripts that happens to produce charts on a good day.
02 / Architecture
01Operational sources
02Validation + ETL
03Warehouse
04Semantic layer
05Dashboards + alerts
06Scheduled workflows
03 / Key decisions
01
Validation happens at ingestion and again at the semantic boundary where business meaning is assigned.
02
Reusable orchestration keeps schedules, ownership, failures, and downstream delivery observable.
03
This case study deliberately excludes proprietary SQL, internal object names, hosts, and customer data.