this is so well explained, i came here knowing nothing about data quality, and now i think im ready for my job interview. wish me luck guys
@firza6674
3 жыл бұрын
i got the job yall😭
@jaddek.astrie3071
3 жыл бұрын
Me too.
@ProfessionalCleancutguy
2 жыл бұрын
@@firza6674 Congratulations❤
@billiondollatv5837
4 ай бұрын
@@firza6674 please Can I have your contact? I would like to ask some questions and get some information from you because I just got a job as a Data Quality Analyst too
@jackdaniel15796 жыл бұрын
Simply, short, sweet and on point! Loved it!
@R2DMD6 жыл бұрын
Very well structured and presented. Thank you!
@esther_anyanwu Жыл бұрын
Thank you so much for putting this together, it's so helpful for my Data Quality Analyst interview prep.
@jorgemendoza116021 күн бұрын
this info is still useful, thank you so much!
@prabhu45454 жыл бұрын
Well explained and presented. Thanking you
@WinPureDM2 жыл бұрын
Good video and we particular like the section on data profiling at 13:01 as this is something we have been working on for many years in our tools, and by using this method you can quickly discover patterns and meaning in your data, and to check the quality of it by analyzing formats, types, completeness and value counts. Great stuff 👍
@muneerahmed49969 ай бұрын
Nice information..hope will have more video's in future..Thanks
@tanyarems54752 жыл бұрын
Wow.. perfect
@morganbayeto25532 жыл бұрын
Wahoo great lesson
@pushkardas92 жыл бұрын
Very well explained and clarified.
@gustiromanda41974 жыл бұрын
Good👍 Thank's
@vikassogani63467 ай бұрын
Very Good Video ,Thanks
@joachimcollin37122 жыл бұрын
very good video! I have been looking for something like that. Thanks
@franklinmosquera63134 жыл бұрын
Good and easy !!!
@parthshah72025 жыл бұрын
Hi This is very informative and i learn very good about DQ, can you please share this presentation for us? Thanks
@rajatshelake7653 ай бұрын
DOB cannot be future date, this also rule we can apply on DOB column. Thanks for the video though, it really helpful and i am learning a lot :)
@venanciopereira1333 жыл бұрын
Thanks. I am struggling to learn this.
@johnpaullozano8014 Жыл бұрын
Hi. Thank you for this very informative presentation ❤ may i have a copy of the slides? Thanks so much.
@shamelame63673 жыл бұрын
Thanks!! Very Nice!! Please remove background music...
@tenniswillington6 жыл бұрын
At around 14:20, for the data quality example, in the data assessment results, you mentioned Validity failed results as 2. But the date looks valid as 2/30/1968 which is correct according to the rule. Please correct me if I a wrong.
@tenniswillington
6 жыл бұрын
:O :O :O How could I miss such a silly point. Sorry. And, Thank you. :)
@jamieduff3645
4 жыл бұрын
@@tenniswillington I did it too :) haha
@irakli16105 жыл бұрын
There are many connections between data quality dimensions. Should an analyst include number of blank values in both Completeness and Validity? Should he/she include blank values in duplicate values?
@shorthop65
5 жыл бұрын
If the field is blank, or Null, then you measure that in your completeness metric. If the value in the field is "blank" and that value is not a valid use of that field, such as if you had a product name field and the value was "blank", then you wouldn't measure that as completeness, you would measure that as Invalid.
Пікірлер: 31
this is so well explained, i came here knowing nothing about data quality, and now i think im ready for my job interview. wish me luck guys
@firza6674
3 жыл бұрын
i got the job yall😭
@jaddek.astrie3071
3 жыл бұрын
Me too.
@ProfessionalCleancutguy
2 жыл бұрын
@@firza6674 Congratulations❤
@billiondollatv5837
4 ай бұрын
@@firza6674 please Can I have your contact? I would like to ask some questions and get some information from you because I just got a job as a Data Quality Analyst too
Simply, short, sweet and on point! Loved it!
Very well structured and presented. Thank you!
Thank you so much for putting this together, it's so helpful for my Data Quality Analyst interview prep.
this info is still useful, thank you so much!
Well explained and presented. Thanking you
Good video and we particular like the section on data profiling at 13:01 as this is something we have been working on for many years in our tools, and by using this method you can quickly discover patterns and meaning in your data, and to check the quality of it by analyzing formats, types, completeness and value counts. Great stuff 👍
Nice information..hope will have more video's in future..Thanks
Wow.. perfect
Wahoo great lesson
Very well explained and clarified.
Good👍 Thank's
Very Good Video ,Thanks
very good video! I have been looking for something like that. Thanks
Good and easy !!!
Hi This is very informative and i learn very good about DQ, can you please share this presentation for us? Thanks
DOB cannot be future date, this also rule we can apply on DOB column. Thanks for the video though, it really helpful and i am learning a lot :)
Thanks. I am struggling to learn this.
Hi. Thank you for this very informative presentation ❤ may i have a copy of the slides? Thanks so much.
Thanks!! Very Nice!! Please remove background music...
At around 14:20, for the data quality example, in the data assessment results, you mentioned Validity failed results as 2. But the date looks valid as 2/30/1968 which is correct according to the rule. Please correct me if I a wrong.
@tenniswillington
6 жыл бұрын
:O :O :O How could I miss such a silly point. Sorry. And, Thank you. :)
@jamieduff3645
4 жыл бұрын
@@tenniswillington I did it too :) haha
There are many connections between data quality dimensions. Should an analyst include number of blank values in both Completeness and Validity? Should he/she include blank values in duplicate values?
@shorthop65
5 жыл бұрын
If the field is blank, or Null, then you measure that in your completeness metric. If the value in the field is "blank" and that value is not a valid use of that field, such as if you had a product name field and the value was "blank", then you wouldn't measure that as completeness, you would measure that as Invalid.
where can I find the quiz, please?
you didn't even bother reading the text?