90% of PySpark Interviews Ask This! | GroupBy & Aggregation Questions EXPLAINED скачать в хорошем качестве

90% of PySpark Interviews Ask This! | GroupBy & Aggregation Questions EXPLAINED

Welcome to another episode in our Most Asked PySpark Interview QnA Series by Shilpa Data Insights! 🚀 In this video, we're diving deep into GroupBy and Aggregation functions — one of the most repeated and misunderstood topics in PySpark interviews. If you're preparing for roles in Data Engineering, Big Data, or Spark-based pipelines, this is a must-watch! 🔍 What you'll learn: How groupBy() works under the hood The difference between agg(), sum(), count(), avg(), and max() Common interview patterns and trick questions Performance tips interviewers love to hear Real-world scenarios you can talk about in interviews 🎯 This video is packed with hands-on examples, interview tips, and mistakes to avoid — so you don’t just memorize the answers, but understand the logic behind them. 👉 Hit Subscribe and turn on the bell icon so you never miss the next episode in our high-impact interview prep series!