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dv-supernova

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Snowflake-based patterns for Data Vault.

Data & Analytics#data-modeling#snowflake#satellites#dynamic-tables#bi-views#datavault#data-delivery
AuthorPatrickCuba
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Data Vault architectures often suffer from slow BI delivery due to runtime joins across hubs, links and satellites. This Skill pre-materialises the delivery layer on Snowflake, providing auditable, fast access to integrated data.

Core Features & Use Cases

  • Pre-materialised Dynamic Tables (Supernova DTs) that merge hub and satellite data into a wide, versioned structure.
  • Extended Supernova (XSN) patterns and delivery views to support fast BI, multi-tenancy, and standardised columns.
  • Clear guidance for layering, naming, and maintaining incremental refresh cycles to minimise rebuilds and maximise performance.

Quick Start

Create a Snowflake-based, pre-materialised data delivery layer by defining the hub/link structure, building Supernova dynamic tables, adding extended Supernova attributes, and exposing delivery views.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: dv-supernova
Download link: https://github.com/PatrickCuba/the_data_must_flow/archive/main.zip#dv-supernova

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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