Bronze Lakehouse
Bronze Lakehouse
Overview
The Bronze Lakehouse layer contains data from various source systems with the data quality matching as close to the source as possible. Data is stored in distinct Lakehouses depending on the source system. Depending on the source, the orchestration method used to get data into these Lakehouses can be a Data Pipeline, Gen2 Dataflow or a Synapse Notebook.
Source-to-Bronze Flow
The diagram below shows which source system feeds which dedicated Bronze Lakehouse, and which orchestration method is used.
flowchart LR
subgraph SRC["**Source systems**"]
direction TB
S1[BMD
ERP]
S2[Rimo DWH
SPL Software]
S3[Board
Planning DB]
S4[SharePoint
Lists & Files]
S5[H3A
Database]
end
subgraph BRZ["**Bronze Lakehouses**"]
direction TB
L1[(BMD Bronze)]
L2[(Rimo Bronze)]
L3[(Board Bronze)]
L4[(SharePoint Bronze)]
L5[(H3A Bronze)]
end
S1 -->|Data Pipeline| L1
S2 -->|Data Pipeline| L2
S3 -->|Gen2 Dataflow| L3
S4 -->|Gen2 Dataflow / Notebook| L4
S5 -->|Data Pipeline| L5
BRZ --> SIL[Silver Lakehouse
cleansed & conformed]
classDef src fill:#e3f2fd,stroke:#1976d2,stroke-width:1px
classDef brz fill:#f4a261,stroke:#b85c00,stroke-width:1px,color:#000
classDef sil fill:#c0c0c0,stroke:#555,stroke-width:1px
class S1,S2,S3,S4,S5 src
class L1,L2,L3,L4,L5 brz
class SIL sil
The five Bronze Lakehouses
ποΈ BMD
Data from the BMD database β SPL Tele's ERP system. Hosts financial postings, customer and vendor master data, and accounting transactions.
ποΈ Rimo
Data from the Rimo DWH β SPL Tele's own software product. Provides project, resource and operational data used by Power Users.
β Rimo Lakehouse
ποΈ Board
Data from the Board database β used for planning and controlling. Loaded via Gen2 Dataflow.
ποΈ SharePoint
Data from SharePoint sites β typically lists, libraries and Excel files maintained by business teams. Used to bring decentralised data into the Lakehouse without a dedicated source database.
β SharePoint Bronze Lakehouse
ποΈ H3A
Data from the H3A database β third-party operational system. Loaded via Data Pipeline.
Orchestration methods
Three methods are in use, chosen per source system:
| Method | Typical use | Strength |
|---|---|---|
| Data Pipeline | Database sources (BMD, Rimo, H3A) | Native Fabric orchestration; copy + transform; parameterizable |
| Gen2 Dataflow | Sources reachable via Power Query (Board, SharePoint Lists) | Low-code; reuses existing Power Query knowledge |
| Synapse Notebook | Complex transformations, file parsing, custom logic | Full PySpark / Python control; ideal for non-trivial SharePoint payloads |
Design principles
- One Lakehouse per source system β keeps Bronze stable and the lineage obvious.
- Schema close to source β no joins, no enrichment in Bronze; only raw or near-raw tables.
- Idempotent loads β pipelines and dataflows can be re-run without breaking history.
- Append where possible, full-load where cheaper β chosen per table based on volume and change pattern.
Where Bronze fits in the bigger picture
Verwandte Themen
Kuratiert β kann direkt im Editor ergΓ€nzt werden://
Automatisch vorgeschlagen ΓΌber gemeinsame Tags (architektur, fabric):
- BMD Bronze Lakehouse
- Board Bronze Lakehouse
- H3A Bronze Lakehouse
- Rimo Lakehouse
- SharePoint Bronze Lakehouse
- Microsoft-Fabric-Datenarchitektur im SPL
Status: Migriert β Team-Review ausstehend Β· Owner: (festlegen) Β· Letzter Review: 2026-06-11