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Shopify to BigQuery order pipeline diagram

This is a worked example. Wavelength built the diagram below from the description on this page. Nobody drew it by hand.

What was said

Customers place orders on the Shopify store. The warehouse team picks and packs each order and hands it to the shipping carrier. Shopify order data syncs into BigQuery every night through Airbyte. Airflow runs the transformations, and the operations team tracks fulfillment times in a Looker Studio dashboard.

The diagram

G n1 Customers n2 Shopify n1->n2 places orders n3 Warehouse Team n2->n3 receives order n6 Airbyte n2->n6 syncs nightly via Airbyte n4 Shipping Carrier n3->n4 hands to carrier n5 BigQuery n9 Looker Studio Dashboard n5->n9 feeds dashboard n6->n5 loads into BigQuery n7 Airflow n7->n5 transforms data n8 Operations Team n8->n9 tracks in dashboard
Hexagons are systems. Cylinders are data stores. Diamonds are decisions. Rounded orange boxes are people and teams. A dashed amber arrow is a link the AI inferred. Pink arrows are decision branches. Blue arrows move data.

What is in this flow

Mermaid code

Copy this into any Markdown file, GitHub README, or Mermaid Live to render the same flow.

flowchart TD
  n1(["Customers")]
  n2{{"Shopify"}}
  n3("Warehouse Team")
  n4("Shipping Carrier")
  n5[("BigQuery")]
  n6{{"Airbyte"}}
  n7{{"Airflow"}}
  n8("Operations Team")
  n9{{"Looker Studio Dashboard"}}
  n1 -->|places orders| n2
  n2 -->|receives order| n3
  n3 -->|hands to carrier| n4
  n2 -->|syncs nightly via Airbyte| n6
  n6 -->|loads into BigQuery| n5
  n7 -->|transforms data| n5
  n5 -->|feeds dashboard| n9
  n8 -->|tracks in dashboard| n9

Map your own process

Describe your version out loud, or paste the transcript of a call. Wavelength draws the flow as you talk, and you can edit it by voice, by prompt, or by hand.

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