FlowDiagram
Data pipelines & ETLMermaid

Data fabric architecture template

A metadata-driven layer over distributed sources: active metadata, knowledge graph, virtualisation, governance and self-service delivery. This data flow diagram template contains 14 labelled components.

Open in the editor →
  • Free — no account, no trial, no watermark
  • Fully editable shapes and connectors, not a screenshot
  • Export PNG, SVG or PDF, or share it as a link
  • Private: the diagram never leaves your browser

Components in this data flow diagram

  • ERP
  • Connectors & virtualisation
  • CRM
  • Data lake
  • Cloud warehouse
  • Active metadata harvesting
  • Knowledge graph
  • AI recommendations: joins, quality, PII
  • Integration: ETL, streaming, virtual views
  • Unified governance & policies
  • Data delivery: APIs, SQL, products
  • Analysts
  • Applications
  • Data science

How to use this data flow diagram template

  1. Click Open in the editor. The data flow diagram opens on a new page in FlowDiagram — nothing is uploaded and there is no sign-up.
  2. Rename, add or delete shapes and drag them where you want; connectors stay attached as things move.
  3. Drop in vendor logos from the library — 1,160 of them, including every AWS, Azure and Google Cloud service icon — or restyle it with the colour and theme controls.
  4. Prefer text? Edit the Mermaid source below and paste it in through ☰ → Import diagram (see the Mermaid editor); it imports as an editable diagram.
  5. Export to PNG, SVG or PDF, or press Ctrl+L for a link that carries the whole diagram.

Mermaid source

The whole template is the text below. Paste it into FlowDiagram, keep it in Git next to the code it describes, or hand it to an AI assistant to extend.

flowchart TB
  S1[(ERP)] --> CONN[Connectors & virtualisation]
  S2[(CRM)] --> CONN
  S3[(Data lake)] --> CONN
  S4[(Cloud warehouse)] --> CONN
  CONN --> META[Active metadata harvesting]
  META --> KG[(Knowledge graph)]
  KG --> REC[AI recommendations: joins, quality, PII]
  REC --> INT[Integration: ETL, streaming, virtual views]
  INT --> GOV[Unified governance & policies]
  GOV --> DEL[Data delivery: APIs, SQL, products]
  DEL --> C1[Analysts]
  DEL --> C2[Applications]
  DEL --> C3[Data science]

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