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PySpark mini project:

Dive into the world of big data processing with our PySpark Practice playlist. This series is designed for both beginners and seasoned data professionals looking to sharpen their Apache Spark skills through scenario-based questions and challenges.

Not all the inputs come from storage files like JSON, CSV and other formats. There can be cases where you are given a scenario to fetch data from an API request and create a DataFrame. In today's video, let's get started on how to write code in PySpark with API response as input

Each video provides step-by-step solutions to real-world problems, helping you master PySpark techniques and improve your data-handling capabilities. Whether preparing for a job interview or just learning more about Spark, this playlist is your go-to resource for practical, hands-on learning. Join us to become a PySpark expert!

While solving the problems, we also demonstrated the most asked PySpark #interview problems.

Stay tuned to all to this playlist for all upcoming videos.

🔅 API endpoint - https://dummyjson.com/users

🔅 Topmate (For collaboration and Scheduling calls) - https://topmate.io/ankur_ranjan

🔅 LinkedIn -   / manoj-t-dataengineer  

𝗝𝗼𝗶𝗻 𝗺𝗲 𝗼𝗻 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮:
🔅 Topmate (For collaboration and Scheduling calls) - https://topmate.io/ankur_ranjan
🔅 LinkedIn -   / thebigdatashow  
🔅 Instagram -   / ranjan_anku  

🔅 Kafka for Data Engineers - Playlist
   • Kafka For Data Engineers  

#pyspark #practice #dataengineering #apachespark #problemsolving #spark #bigdata