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Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

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Data pipelines & processing medium

How to perform a star schema join in Python

Denormalize mock fact and dimension tables by building lookup dicts and enriching each sales fact with customer, product, and date attributes.

star-schema data-joins dimensional-modeling
Python 
from datetime import date

# Mock dimension tables
customers = [
    {"customer_id": 1, "name": "Alice", "city": "New York"},
    {"customer_id": 2, "name": "Bob", "city": "Los Angeles"},
    {"customer_id": 3, "name": "Carol", "city": "Chicago"},
]

products = [
    {"product_id": 101, "name": "Laptop", "category": "…
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