#spark #pyspark #dataengineering #dataengineer #learnpyspark

In this video, I discussed about createOrReplaceTempView() function which helps to create temporary tables with in the session, so that we can access them using SQL.

Want more similar videos- hit like, comment, share and subscribe

❤️Do Like, Share and Comment ❤️
❤️ Like Aim 5000 likes! ❤️

➖➖➖➖➖➖➖➖➖➖➖➖➖
Please like & share the video.
➖➖➖➖➖➖➖➖➖➖➖➖➖
dataset

data=[(1,'manish',10000),(2,'rani',50000),(3,'sunny',5000)]
columns=['id','name','salary']

➖➖➖➖➖➖➖➖➖➖➖➖➖
AWS DATA ENGINEER :    • AWS DATA ENGINEER  

Azure data factory :
   • Azure Data Factory  

Azure data engineer playlist :    • Azure Data Engineer  

SQL PLAYLIST :    • SQL playlist  

PYSPARK PLAYLIST -
   • Pyspark Tutorial  

➖➖➖➖➖➖➖➖➖➖➖➖➖
📣Want to connect with me? Check out these links:📣

Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1

➖➖➖➖➖➖➖➖➖➖➖➖➖
what we have covered in this video:

createOrReplaceTempView() method
You can also use the createOrReplaceTempView() method on a DataFrame to create a temporary view from it
➖➖➖➖➖➖➖➖➖➖➖➖➖

Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!

➖➖➖➖➖➖➖➖➖➖➖➖➖