Скачать или смотреть 4 - Data Engineering Interview Challenge, "Finding nth Highest salary Department wise" PySpark/SQL

🚀 **Data Engineering Interview Problem with solution asked in Amazon, for DE 2 Role Sql Round **
Row_Number ❌
Rank () ❌
Dense_Rank () ✔️

In this exciting video, we are checking how can Row_Number() and Rank() function will give you incorrect Output while finding "nth Highest Salary Department wise". 📊✨


🔍 Understanding the mechanics of Window Functions in Databricks and Sql.
📅 Exploring date sequences and working of group by in your data.
💻 Implementing powerful SQL queries for insightful analysis.

📚 *Resources Mentioned:*



🎥 *please Watch the complete video for the solution and insights!*

🔍 *Timestamps:*
0:00 - Description of asked Problem .
2:00 - PySpark Window Functions Deep Dive.
6:00 - Analyzing Date Sequences with Code Examples.
9:00 - Crafting Efficient PySpark / SQL Solution for Quick Analysis.

🔗 *Related Hashtags:*
#DataEngineering #InterviewPrep #TechInterviews #PySpark #DataScience #AmazonInterview #MetaInterview #MicrosoftInterview #JobInterviewTips #DataEngineeringInterview #TechInterviewQuestions #DataEngineeringProblems #ProgrammingInterview #AppleInterview #azuredatabricks #azure #azuresql #azuretutorials #databricks #spark #python #dataengineer #sql #the_data_guy

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