Tag: Data Vault

Data Vault, Practically: Why It Exists, How It’s Built, and What 2.1 Changes

Modern data platforms live in tension:

  • Source systems evolve faster than dimensional models can absorb.
  • Audit and lineage are mandatory, but teams still need velocity.
  • Cloud lakehouses, streaming, and domain ownership do not slot neatly into yesterday’s warehouse playbooks.

Data Vault is a response to those pressures. It is both a modeling approach and a delivery method designed to (1) absorb change, (2) preserve complete, immutable history, and (3) decouple integration from consumption. The core building blocks—Hubs, Links, and Satellites—organize into a Raw Vault (source truth, append‑only) and a Business Vault(governed derivations and query assistance). Think of it as a fault‑tolerant integration substrate with a clean seam to marts, semantic models, and data products.

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