(தமிழில்) Must-Know PySpark Interview Question for Data Engineers - Live Demo & Tips!
#ApacheSpark #DataEngineering #AzureDataEngineer #SparkSQL #DataTransformation #DataFrame #InterviewQuestion #BigData #AzureDatabricks #PySpark #DataAnalysis #DataScience #SQLQuery #Optimization #Efficiency #Tutorial
In this video, we'll dive into a popular PySpark interview question often asked by financial and banking companies—calculating the running total for grouped data. We'll explore the concept step-by-step using a simple DataFrame in Databricks, breaking down the logic behind partitioning data by ID and implementing a running total using PySpark’s window function. Whether you're prepping for an interview or looking to enhance your PySpark skills, this tutorial will guide you through the nuances of this essential data transformation technique. Don't miss out on this key topic for any aspiring Data Engineer!
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Mr. K is a passionate teacher created this channel for only one goal "TO HELP PEOPLE LEARN ABOUT THE MODERN DATA PLATFORM SOLUTIONS USING CLOUD TECHNOLOGIES"
I will be creating playlist which covers the below topics (with DEMO)
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5. Microsoft Power BI
6. Azure Data Lake Gen2
7. Azure DevOps
8. GitHub (and several other topics)
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