Add 5 component data-flow diagrams (Mermaid source + PNG)

- otopcua-dataflow: equipment → drivers (8, with stability tiers) → namespaces → ACL → consumers
- redpanda-eventhub: site ScadaBridge → store-and-forward → central cluster (topics + retention tiers + schema registry) → enterprise consumers
- snowbridge-dataflow: source adapters (Historian/Redpanda) → governed selection + approval workflow → Snowflake landing
- scadabridge-dataflow: OtOpcUa inputs → scripts/templates → multiple outputs (Redpanda, Web APIs, DB, email, equipment writes, Camstar)
- snowflake-dbt-dataflow: landing → staging → curated layer (dim_equipment, fact_state_transitions, mart_oee) → Power BI / AI/ML / ad-hoc
This commit is contained in:
Joseph Doherty
2026-04-17 14:24:45 -04:00
parent e394c35020
commit eb61d07ffd
10 changed files with 202 additions and 0 deletions

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flowchart TB
subgraph Input["Data Ingestion"]
SNB["SnowBridge<br/>(Historian SQL + Redpanda)"]
end
subgraph Snowflake["Snowflake + dbt"]
direction TB
LAND["Landing Tables<br/>(raw, as-received)"]
STG["Staging Models<br/>(cleaned, typed)"]
subgraph Curated["Curated Layer (canonical model)"]
DIM["dim_equipment<br/>(UUID + 5 identifiers<br/>+ UNS path + class)"]
STATE["fact_state_transitions<br/>(Running/Idle/Faulted/<br/>Starved/Blocked)"]
TAGS["fact_tag_values<br/>(time-series, filtered)"]
OEE["mart_oee<br/>(cross-site OEE<br/>from canonical state)"]
EVENTS["fact_events<br/>(canonical event stream)"]
end
TESTS["dbt tests<br/>(enum divergence checks,<br/>source freshness ≤15min)"]
end
subgraph Consumers["Analytics Consumers"]
PBI["Power BI<br/>(reporting)"]
AIML["AI/ML Models<br/>(predictive)"]
ADHOC["Ad-hoc SQL<br/>(analysts)"]
end
SNB --> LAND
LAND --> STG
STG --> DIM
STG --> STATE
STG --> TAGS
STATE --> OEE
TAGS --> OEE
DIM --> PBI
OEE --> PBI
EVENTS --> AIML
STATE --> AIML
DIM --> ADHOC
TAGS --> ADHOC
TESTS -.->|"validates"| Curated