FlowDiagram
Data pipelines & ETLMermaid

Streaming lakehouse (Apache Iceberg) template

Streams and batch landing in the same Iceberg tables, queried by several engines through one open catalog. This data flow diagram template contains 13 labelled components.

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  • Fully editable shapes and connectors, not a screenshot
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Components in this data flow diagram

  • Kafka
  • Flink streaming writes
  • Database CDC
  • Spark batch jobs
  • Iceberg tables on object storage
  • REST catalog: Polaris / Unity / Glue
  • Snowflake
  • Trino
  • Spark ML
  • DuckDB notebooks
  • Compaction & snapshot expiry
  • Access policies & masking
  • BI dashboards

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 LR
  K[(Kafka)] --> FLINK[Flink streaming writes]
  CDC[Database CDC] --> K
  BATCH[Spark batch jobs] --> ICE
  FLINK --> ICE[(Iceberg tables on object storage)]
  CAT[REST catalog: Polaris / Unity / Glue] --> ICE
  ICE --> SNOW[Snowflake]
  ICE --> TRINO[Trino]
  ICE --> SPARK[Spark ML]
  ICE --> DUCK[DuckDB notebooks]
  MAINT[Compaction & snapshot expiry] --> ICE
  GOV[Access policies & masking] --> CAT
  SNOW --> BI[BI dashboards]

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