Data Lakehouse

Sources are ingested into a data lake, curated into a warehouse, and served to BI dashboards and ML models.

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{
  "nodes": [
    { "id":"src",    "type":"cylinder",         "label":"Sources",   "x":40,  "y":180, "fill":"#fef3c7" },
    { "id":"ingest", "type":"funnel",           "label":"Ingestion", "x":260, "y":180, "fill":"#fed7aa" },
    { "id":"lake",   "type":"stacked-cylinder", "label":"Data lake", "x":480, "y":180, "fill":"#a5f3fc" },
    { "id":"wh",     "type":"db-cluster",       "label":"Warehouse", "x":700, "y":180, "fill":"#a5f3fc" },
    { "id":"bi",     "type":"donut-3d",         "label":"BI",        "x":920, "y":70,  "fill":"#dbeafe" },
    { "id":"ml",     "type":"neural-net",       "label":"ML",        "x":920, "y":300, "fill":"#ede9fe" }
  ],
  "edges": [
    { "id":"e1","source":"src","target":"ingest" },
    { "id":"e2","source":"ingest","target":"lake","label":"raw" },
    { "id":"e3","source":"lake","target":"wh","label":"ETL" },
    { "id":"e4","source":"wh","target":"bi" },
    { "id":"e5","source":"wh","target":"ml" }
  ]
}