How can we convert multi-currency international transactions to USD using daily fluctuating exchange rate tables?
Joining transactions with exchange rate dimensions on currency code and transaction date calculates standardized USD totals.
Global retail pipelines consolidating international sales into standardized corporate financial metrics.
df_normalized = df_transactions.join(df_fx_rates, (df_transactions.currency == df_fx_rates.currency) & (df_transactions.tx_date == df_fx_rates.rate_date), "left").withColumn("amount_usd", col("amount") * col("usd_exchange_rate"))Practice typing production-grade PySpark code for Scenario: Dynamic Cross-Currency Price Normalization.