Thanks a lot sir for sharing such real-time automation scenarios, this will help us to make more dynamic solutions
@rajasdataengineering7585 Жыл бұрын
Happy to help
@user-iv7mx7bt4l8 ай бұрын
Excellent you deserve for more subscriptions
@rajasdataengineering75858 ай бұрын
Thanks
@sravankumar17675 ай бұрын
I have one doubt how can we select query for azure Mongo db
@sravankumar17675 ай бұрын
Same logic how can we apply Mongo db and cosmos db, can you please explain. Basically these databases support different datatype right ? Can you please make one video on this one 🙏
@Ramakrishna41010 ай бұрын
Hi Nice explanation. My requirement is source is CSV, target is delta table.. so how to fetch column name and datatype for delta table..
@rajunaik880311 ай бұрын
Hi Raja, I guess we can also do type casting according to target system before appending! Do you see any challenges in type casting?
@rajasdataengineering758511 ай бұрын
Hi Raju, data type is different between azure DW and spark so created this automation solution
@suvratrai887310 ай бұрын
what if there are more columns in dataframe, compared to table?
@rajasdataengineering758510 ай бұрын
We need to apply workaround of dropping unwanted columns from the dataframe
@suvratrai887310 ай бұрын
Then maybe we can add that condition too right, just to cover all possible scenarios?