How do we load compressed columnar Parquet files with built-in schema preservation?
spark.read.parquet() reads binary columnar Parquet files containing embedded schema metadata and Snappy compression.
High-performance queries across bronze, silver, and gold lakehouse data layers.
parquet_df = spark.read.parquet("data/gold_orders.parquet")Practice typing production-grade PySpark code for Reading Optimized Parquet Files.