Building a Data Vault using dbtvault with google BigQuery

Big Query

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

Thanks for your registration!

The 6th Swiss Conference on Data ScienceD ONE is on MediumVon Daten zum Business Value - Workshop von D ONE und DataikuMachine learning for productionData Visualization: Snowstorm in AthensStart up Winji in der NZZData Vault 2.0 Bootcamp and certification with Dan Linstedt by D ONEReal-Time Tracking of Swiss Covid-19 CasesAMLD 2022, EPFL LausanneTensorFlow SessionDan Linstedt @ D ONEInsights of the Data Vault 2.0 Bootcamp with Dan LinstedtGT-Conference Talk: Zhamak DehghaniArtificial Intelligence in Claim ManagementInnovationsschub in Anwaltskanzleien durch Startup Herlock.aiD ONE with 3 talks at SDSHWZ Yea(h)rbook 2017 FachbeitragWhen data makes the differenceShaping the Data Age Together: SDS 2019SDS2018 - with D ONE