#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!

– – – Book a Private One on One Meeting with me (1 Hour) – – –

www.buymeacoffee.com/mrktalkstech/e/166354

– – – Express your encouragement by brewing up a cup of support for me – – –

www.buymeacoffee.com/mrktalkstech


– – – Other useful playlist: – – –

1. Microsoft Fabric Playlist:    • Microsoft Fabric Tutorials  
2. Azure General Topics Playlist:    • Azure Beginner Tutorials  
3. Azure Data Factory Playlist:    • Azure Data Factory Tutorials  
4. Databricks CICD Playlist:    • CI/CD (Continuous Integration and Continuo...…
5. Azure Databricks Playlist:    • Azure Databricks Tutorials for Beginners  
6. Azure End to End Project Playlist:    • End to End Azure Data Engineering Real Tim...…
7. End to End Azure Data Engineering Project:    • An End to End Azure Data Engineering Real ...  

– – – Let’s Connect: – – –

Email: mrktalkstech@gmail.com
Instagram: mrk_talkstech


– – – About me: – – –

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)

1. Azure Beginner Tutorials
2. Azure Data Factory
3. Azure Synapse Analytics
4. Azure Databricks
5. Microsoft Power BI
6. Azure Data Lake Gen2
7. Azure DevOps
8. GitHub (and several other topics)

After creating some basic foundational videos, I will be creating some of the videos with the real time scenarios / use case specific to the three common Data Fields,

1. Data Engineer
2. Data Analyst
3. Data Scientist

Can't wait to help people with my videos.

– – – Support me: – – –

Please Subscribe:    / @mr.ktalkstech