Why Use PySpark in Databricks
- Managed Infrastructure: Spark clusters are automatically handled.
- Integration: Seamlessly connects with data sources (S3, Azure, Delta Lake).
- Collaboration: Shared notebooks and versioned workflows.
- Scalability: Run the same code on small or massive data volumes.