Very detailed and understandable information. Thanks
@BigDataThoughts Жыл бұрын
Thanks
@sriadityab47942 жыл бұрын
Very Well explained !!! Thank you
@BigDataThoughts2 жыл бұрын
Thanks Aditya
@muzakiruddin2663 жыл бұрын
Very informative
@pravinmahindrakar61442 жыл бұрын
Well explained!
@himanshgautam3 жыл бұрын
Good information. Could you also provide which method you commonly use for capturing changing data from the source? I know of services like AWS DMS and golden gate for oracle. Is there any other method that we can use?
@BigDataThoughts3 жыл бұрын
We need to write queries to track the change based on what we are handling I/U/D as explained in the video. In databricks there is a merge into command that can be used to do the same.
@kathirvelu3806 Жыл бұрын
When you said, over write - how the deleted records will be taken care... do you mean erase everything what you have and re-load?
@itriggerpeople3 ай бұрын
Very informative ! As a ETL Tester, It helped clear my concept. Thanks Mam
@ashishambre10082 жыл бұрын
Can we implement scd in apache pyspark(not on databricks)?
@BigDataThoughts2 жыл бұрын
SCD is a concept we can implement in any language we want
@ashishambre10082 жыл бұрын
I believe pyspark doesn’t support update and delete, so not sure how to implement and there isn’t much content on this topic elsewhere. Can you please create an example of this, I’m looking for scd type2 from a long time using pyspark but didn’t get any good answer
@ASHISH517098 Жыл бұрын
@@ashishambre1008did you find a way to implement scd in pyspark?
@prabhatsingh73915 ай бұрын
@@ASHISH517098 yes SCD1 and SCD2 can be implement through pyspark.
@sindhuchowdary5727 ай бұрын
lets say there is no change in records for the next day.. then.. does the data gets overwrite again?? with same records..??
@BigDataThoughts7 ай бұрын
No we are only taking the new differential data when we do CDC
@shivsuthar2291 Жыл бұрын
how will we know of deleted records as it does not come with incremental load
@BigDataThoughts Жыл бұрын
Only way to know about deleted records is if we get full load and we can do a diff. Or in case of incremental the upstream explicitly sends that information to us.