🔥PySpark Interview Coding Questions-Part2 | DataFrame Operations: Add Column, Joins, Running Total

Are you preparing for a PySpark coding interview or looking to enhance your data engineering skills? In this video, we cover essential PySpark DataFrame operations, including adding columns, performing joins, and calculating running totals using window functions.

📌 Topics Covered:
✅ Adding a New Column – Use withColumn() with conditions & UDFs
✅ Inner Join – Merge DataFrames based on common keys
✅ Left Join – Handle missing data while merging DataFrames
✅ Right Join – Include all customers in a report, even those without orders
✅ Running Total Calculation – Use window functions to compute cumulative sums

Whether you're a beginner or an experienced professional, this tutorial will help you master PySpark and crack data engineering interviews with confidence! 🚀

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🔔 Stay tuned for more PySpark interview questions & real-world projects!

🔖 Hashtags:
#PySpark #DataEngineering #BigData #ApacheSpark #SQL #ETL #DataPipeline #MachineLearning

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