Building a Data Vault using dbtvault with google BigQuery

Nov 2021

Making sense of data is crucial for every enterprise. One key enabler to create value from data is the Information Factory. The job of the Information Factory is to turn raw data into knowledge - that is, information humans apply to change the course of their business, hopefully to the better.

There are many technological solutions on the market which allow one to build the Information Factory. In this article on medium, we demonstrate how to create a data vault on Google BigQuery with metadata generated code using dbt & dbtvault.

D ONE on medium: https://medium.com/d-one

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Dan Linstedt @ D ONE Von Daten zum Business Value - Workshop von D ONE und Dataiku Making NLP easy Data Visualization: Snowstorm in Athens Insights of the Data Vault 2.0 Bootcamp with Dan Linstedt When data makes the difference HWZ Yea(h)rbook 2017 Fachbeitrag Shaping the Data Age Together: SDS 2019 Artificial Intelligence in Claim Management AMLD 2022, EPFL Lausanne The 6th Swiss Conference on Data Science Real-Time Tracking of Swiss Covid-19 Cases D ONE with 3 talks at SDS Machine learning for production - introducing D ONE’s MLOps repository SDS2018 - with D ONE Data Vault 2.0 Bootcamp and certification with Dan Linstedt by D ONE

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