Introduction to Data Vault: A data practitioner’s view

John Giles, Country Endeavours

This session is intended to be a primer for those who haven’t yet encountered the wonderful world of Data Vault. Topics covered are to include:The “sales pitch” for Data Vault
  • The why, where, when of using Data Vault
  • Positioning Data Vault with regard to Inmon and Kimball data warehouses
The Data Vault building blocks:
  • Hubs
  • Links
  • Satellites
  • There’s more than Raw Data Vault
  • Business Data Vault
Why the distinction is important Point In Time tables Bridge tables
  • Virtual data marts
  • Operational Data Vault: a variation on the central theme
Common data modeling challenges, including
  • Transactions
  • Reference tables
  • Duplicates and Same-As-Links
  • Hierarchical links
  • The Flip-Flop effect
Data Vault 2.0Where to next? John Giles is an independent consultant, with a passion for seeing ideas taken to fruition. For 3 decades his focus has been on data modeling and architecture, with a more recent interest in Data Vault modeling. He has worked in IT since the late 1960s, across many industries. He is a Fellow of the Australian Computer Society, and completed a Master’s degree at RMIT University, with a minor thesis comparing computational rules implementations using traditional and object-oriented platforms. He is the author of “The Nimble Elephant: Agile Delivery of Data Models Using a Pattern-based Approach”. 

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