What’s the easiest way to clean and transform data using PySpark in Databricks?
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10-31-2025 12:03 AM
You have some raw data (like messy Excel files, CSVs, or logs) and you want to prepare it for analysis — by removing errors, fixing missing values, changing formats, or combining columns — using PySpark (Python for Apache Spark) inside Databricks.
