25. Windows function in Pyspark | PySpark Tutorial

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#pyspark #pysparktutorial #pysparkplaylist

In this video I have talked about window function in pyspark.Also I have talked about difference between rank,dense rank and row number.

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data=[(1,'manish','india',10000),(2,'rani','india',50000),(3,'sunny','UK',5000),(4,'sohan','UK',25000),(5,'mona','india',10000)]
columns=['id','name','country','salary']

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what we have covered in this video:
pyspark tutorial for data engineers,pyspark databricks tutorial,manish kumar data engineer,manish kumar,spark interview question,spark interview questions,rank and dense_rank,window function in pyspark,window functions sql,window functions sql in hindi,window function,window function in pyspark in hindi,group by in sql,rank in pyspark,dense rank in pyspark,row number in pyspark,rank in sql,dense_rank in sql,dense rank in spark,dense rank in databricks

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

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Is it similar to sql window functions?

ABQ...