Data Build Tool (DBT) allows you to easily create and manage ELT-pipelines to automatically build and populate a target analytical model. The weekly mood Thanksgiving is over and I wish I could integrate an Advent calendar into my blog, but in this case I should have had the idea before. Therefore, let us put it to next year... perhaps. Talking about ideas, I am still puzzled on how to help my organisation becoming data-driven. Is it ok to struggle with some basic Data Warehouse implementation, or is it a shame? As a matter of fact, we need to do something, and we need to do it now. See also: Building An Analytics-Centric Organisation . Today we'll have a look at a tool that is quite popular for populating dimensional data models: DBT. What is DBT Data Build Tool (DBT) is an Open-Source CLI written in Python that is used to manage, document, test, compile, package and run compute queries on a Data Warehouse (DW) or a Data Lake (DL). DBT is developed by a Philadelphia-...
Learnings & thoughts collected on-the-job