Modeling your Data
flowchart LR
id1(Upload)-->id2(Model)-->id3(Visualize)-->id4(Track)-->id5(Enrich)-->id6(Next steps)
style id1 fill:#f5f5f5,stroke:#333,stroke-width:1px
style id2 fill:#f5f5f5,stroke:#6638B8,stroke-width:3px
style id3 fill:#f5f5f5,stroke:#333,stroke-width:1px
style id4 fill:#f5f5f5,stroke:#333,stroke-width:1px
style id5 fill:#f5f5f5,stroke:#333,stroke-width:1px
style id6 fill:#f5f5f5,stroke:#333,stroke-width:1px
In this chapter you will learn how to set-up and run the snowplow_fractribution package and script to output an attribution report using the sample data.
To create an attribution modeling table in your warehouse, this tutorial uses the snowplow_fractribution dbt package and also a Python script (or Docker container).