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5,309 Views • Apr 30, 2024 • Click to toggle off description
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YouTube Comments - 8 Comments
Top Comments of this video!! :3
if we have a hashkey column in the source S3 bucket then we can compare the same with the Redshift table and exclude in the where clause.
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distinct is wide transformation
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Drop duplicates keep first occurrence of duplicates you can use keep option
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Wouldn't the first step to be understanding why duplicate rows are occuring and then working backward from that based on the reason?
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distinct narrow transformation???
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Passing attributes can be available in dropDuplicates Whereas not in distinct
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Hi sir , I have worked as python django developer for 1.8 years, I did azure dataengineer certification, but I don't have much knowledge in dataengineer field , now I have started learning pyspark and databricks, can you suggest career tips to learn skills and search for jobs
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@sivahanuman4466
1 month ago
We can use row_number() partion by pks and order by audit_tmstamp. And filter only row_number =1 and load the df into Target s3.
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