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Incase someone have doubts regarding joins she answered, her answers are right. All will have 6 records as output.
Yes, she is absolutely right😁
If you have same entity. Just multiply.
This was really helpful and would be very useful to start preparing for data engineer interviews. Thank you Apoorv for giving us an interviewer pov. Looking forward to more such content!
Great eye opener and great knowledge shared
Valuable insights. Helpful for me.
Great questions....
Valuable insights appuu sir❤❤
Nice insights Apoorv.!
Very insightful 😃
Please suggest a chennal for pyspark
What exactly are you looking to learn?
when i tried i got around 9 records for cross join kindly confirm it
inner join ==3 records
Ideally it should be 6 records as you will get a matching record every single time😬
@@apoorvgupta1993 thanks Sir , so duplicate combinations also included
Yes, in sql we can definitely get duplicate records.. that’s why we have the DISTINCT keyword to get only the distinct records if we want
Incase someone have doubts regarding joins she answered, her answers are right. All will have 6 records as output.
Yes, she is absolutely right😁
If you have same entity. Just multiply.
This was really helpful and would be very useful to start preparing for data engineer interviews. Thank you Apoorv for giving us an interviewer pov. Looking forward to more such content!
Great eye opener and great knowledge shared
Valuable insights. Helpful for me.
Great questions....
Valuable insights appuu sir❤❤
Nice insights Apoorv.!
Very insightful 😃
Please suggest a chennal for pyspark
What exactly are you looking to learn?
when i tried i got around 9 records for cross join kindly confirm it
inner join ==3 records
Ideally it should be 6 records as you will get a matching record every single time😬
@@apoorvgupta1993 thanks Sir , so duplicate combinations also included
Yes, in sql we can definitely get duplicate records.. that’s why we have the DISTINCT keyword to get only the distinct records if we want