News

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!

Artificial Intelligence in Claim ManagementReal-Time Tracking of Swiss Covid-19 CasesMaking NLP easyMachine learning for production - introducing D ONE’s MLOps repositoryVon Daten zum Business Value - Workshop von D ONE und DataikuD ONE with 3 talks at SDSData Visualization: Snowstorm in AthensHWZ Yea(h)rbook 2017 FachbeitragInsights of the Data Vault 2.0 Bootcamp with Dan LinstedtData Vault 2.0 Bootcamp and certification with Dan Linstedt by D ONEShaping the Data Age Together: SDS 2019SDS2018 - with D ONEWhen data makes the differenceDan Linstedt @ D ONEThe 6th Swiss Conference on Data ScienceAMLD 2022, EPFL Lausanne

Would you like to work with us? Apply now.

Become part of our exciting team. You will find talented colleagues from over seven different countries.
Click here for the next step. →

© 2022 D ONE | part of Netcetera Group