Modern data stack project - dbt dimensions and facts

Creating fact table and dimension tables using dbt This is a a video in a series where I build a modern data stack project that uses * dlt to extract load (EL) data into a duckdb which acts as a data warehouse * duckdb data warehouse is divided into staging layer, refined layer and marts layer * a star schema is created using dbdiagram which will act as mental model for the transformations * dbt is used to transform data from staging into refined layer and marts * the marts layer is used to serve streamlit dashboard * in the streamlit dashboard LLM will be connected as well as visualizations and KPIs * then everything will be orchestrated using dagster * docker will be used to dockerize the whole project * the dockerized project is deployed into azure