Microsoft Fabric, Data Engineering, Data Science, Python.
for such a small dataset in the context of Spark might seem disproportionate. from pyspark.sql.functions import col, count start_time = time.time() print("start") transactions_df = spark.read.format("csv").option("header","true").load("Files/landing_2/card_operations.csv") client_df =