A Brief Intro to DBT

January 7, 2023

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In DBT labs own words:

"DBT is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation.

Now anyone who knows SQL can build production-grade data pipelines."

Here's a little intro talk I did at the Brighton Data Forum :)

If you want to discuss DBT any further, feel free to contact me using the form below!

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code looks like this

import bpy

#get all scene objects
objs = [i for i in bpy.data.scenes[0].objects if i.type == 'MESH']

for i in objs:
    #check for objects that have one material
    if len(i.material_slots)==1:
        dupmat = i.material_slots[0].name
        print(dupmat)
        #check for duplicate names
        if ".0" in dupmat:
            matName = dupmat[:-4]
            if matName in [i.name for i in bpy.data.materials]:
                mat = bpy.data.materials[dupmat[:-4]]
                i.material_slots[0].material = mat
    
    #check for objects that have more than one material
    elif len(i.material_slots)>1:
        for x,y in enumerate(i.material_slots):
            dupmat = i.material_slots[x].name
            print(dupmat)
            if ".0" in dupmat:
                matName = dupmat[:-4]
                if matName in [i.name for i in bpy.data.materials]:
                    mat = bpy.data.materials[dupmat[:-4]]
                    i.material_slots[x].material = mat

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Dave

Kane

Data Science