Practical Scenarios | Spark Data Engineering Real-World Patterns Practical Scenarios for Apache Spark Data Engineering. 01 Parsing JSON-in-Parquet Converting semi-structured strings using from_json, CTAS commands, and automated schema-on-read patterns. 02 Explode Functions for Arrays Flattening nested list structures using explode to transform one-to-many relationships into relational rows.
