Most of the times when working in Business Intelligence, data visualization tools such as [[§ Tableau]] or [[§ Power BI]] take the center stage, the "front end" of your analytics platform. Good dashboards however rely heavily on the data they are powered with and the processes that maintain it, the "back end". With the evolution of data platforms, the necessity of understanding how the whole machine works is more and more important. This collection presents tools and processes useful for making sense of the full stack involved in a good data platform. %% DATAVIEW_PUBLISHER: start ```dataview LIST FROM [[]] SORT file.name ASC ``` %% - [[§ dbt.md|§ dbt]] - [[§ DevOps for BI.md|§ DevOps for BI]] - [[§ Figma.md|§ Figma]] - [[§ Power BI.md|§ Power BI]] - [[§ Python.md|§ Python]] - [[§ SQL.md|§ SQL]] - [[§ Tableau.md|§ Tableau]] - [[§ Testing.md|§ Testing]] - [[Notes/Best practices for documenting a BI project.md|Best practices for documenting a BI project]] %% DATAVIEW_PUBLISHER: end %%