How do we rename projected columns to conform to standard data warehouse naming conventions?
alias() assigns a new output name to a Column expression during projection.
Standardizing column names, disambiguating join keys, and conforming to data warehouse dimensional schemas.
from pyspark.sql.functions import col
df.select(
col("customer_id").alias("client_id"),
col("email").alias("contact_email")
).show()Practice typing production-grade PySpark code for Renaming Columns with alias().