1. Handle Error Rows in Data Factory Mapping Data Flows

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In this video, I discussed about Handling Error Rows in data in Data factory mapping data flows.

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Hi Wafa,

I have some Interview Questions I was asked. Please make some videos on the same as a request.
1. How to create a GENERIC pipeline that can be reused again?
2. Write a Single line query to delete data from 10 tables.
3. What is Encoding in COPY activity?
4. What is the limitation of LOOKUP activity?
5. How do you validate your SINK data in ADF whether it is right or wrong?

mohitupadhayay

Thanks Wafastudies, You are making ADF easy for us by sharing videos

namangupta

Hi, These Real Time scenarios helped me a lot and added advantage to my experience in Azure and helped to get a job along with other technologies. Thank you for your videos!! :) :)

vinod

Thanks wafa studies. Please start tutorial on Azure Databricks. Ur vedios are really helpful.

kumarpolisetty

Thanks for all the efforts that you have put to create the ADF videos. Can you please share the sample CSV files that you have used to explain here?

soumyaprasanna

Amazing explanation wafastudies cleared so many things, great work.

prekshajain

Hi Wafa, very well explained video. I have watched multiple videos on ADF, but after watching your videos I feel confident for the interview.

vivekgece

Nice explanation.
I have one question, I have one csv file in that i have one column with 50 length but some how some records came in CSV file with more than 50 length. How to reject these records from ADF.

rahulkr

Hi Maheer,

I am new learner to ADF, while doing this scenario, i came to know that self hosted IR cannot be used in Data flows, can you clarify the same. i am using sql server as an on prem application

Connection failed
Linked service with Self-hosted Integration runtime is not supported in data flow.

Also can you clarify that do we need to configure Azure DB in ADF as well? So as to get DB tables details

ManojSairamChandP

Thanks Wafastudies. I have just one request, If you can share data used in tutorial. It will very helpful to follow on video.

SantoshSingh-kibx

Hi,
If you want to check if there is an error in another column as well then use the below condition :
ErrorRows = isNull(toDate(salesDate, 'dd-MMM-yyyy')) || lesser(toInteger(quantity), 0) || isNull(salesItem) || isNull(country)

Here if any one of the conditions is true then that row will go to the bad table.
Also, remember if you use dd-MMM-YYYY instead of dd-MMM-yyyy it will give you the wrong output.

Anonymous-cjgy

I got one question . What if the bad row doesn't show up in the data preview. It might be a decimal . Then how come 'varchar'datatype will be useful on the DB where we store bad data?

bhaskarnukala

thanks, its definitely going to be helpful. better than udemy and courera courses

akashputti

Fantastic bro ur explanation is awesome I learned lot from ur channel

adityachary

how to validate if sales item is not null and not empty string? I could not find a way to write an if statement. Adding one condition to each validation will make the flow pretty complex when working with large datasets. Also, is it possible to redirect to the same sink?

thiagocustodio

Hello, Thank you for the videos. Is there any way to get the csv files mensioned in the video so that we can practice it?

jesseantony

If we dont know which column has error rows then how to give split condition

pawanreddie

This is just awesome explanation. Covering real time scenarios perfectly giving a good insight about ADF. Thanks you guys keep up the good work. Also expecting more about Databricks.

mohammedshoaib

This is what exactly is needed to understand ADF better. Thank you so much for the hardwork _/\_..

jaymakam

Hi, Thanks a lot for great video, but I have a question, how are you able to access this db from SQL server management as dataflow will not allow this

shalakapowar

1. Handle Error Rows in Data Factory Mapping Data Flows

1. Handle Error Rows in Data Factory Mapping Data Flows

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