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Data Engineering Interview in product based companies 

The Big Data Show
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4 окт 2024

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Комментарии : 44   
@AyushiSharmaDSA
@AyushiSharmaDSA 2 года назад
Informative 🙌🏻
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks @Ayushi. You are a champ and your support means a lot. Keep doing great things. I recommend everyone to check the Ayushi channel. She has amazing content and you will be mesmerized by her consistency and quality.
@the_invested_mindset
@the_invested_mindset 2 года назад
I came across your work on LinkedIn, and i reached here. I am an aspiring Data Engineer and this is really helpful when it comes to pave a path for switching to a product based company. I got to learn alot from this video.
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Ankur
@jjayeshpawar
@jjayeshpawar 6 месяцев назад
with cte as (select *,row_number() over(order by timestamp) as rn from tab) select t1.actor,t1.director from cte t1,cte t2, cte t3 on t1.actor=t2.actor and t2.actor=t3.actor and t1.director=t2.director and t2.director=t3.director and t1.rn+1=t2.rn and t2.rn+1=t3.rn
@raghavendraprabhu61
@raghavendraprabhu61 2 года назад
This is really helpful for aspiring data engineers.. could you please keep uploading more such content.. May be next rounds of interview.. thanks again :)
@ashishdukare1313
@ashishdukare1313 9 месяцев назад
Thank you so much for this. good motivation
@bhanusri3569
@bhanusri3569 10 месяцев назад
For the first query the solution what he provided is not correct i guess. In that case the output is going to be printed based on count(*) value irrespective of common occurrence. @TheBigDataShow could you plz provide the correct query for it
@vikasvk9174
@vikasvk9174 2 года назад
Thank you for such wonderful mock interview....
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Vikas
@shwetajaiswal1380
@shwetajaiswal1380 2 года назад
This session is really very very useful. Keep it up. I m surprised why it's view is not touching m
@TheBigDataShow
@TheBigDataShow 2 года назад
It will be one day @Shweta. I just have to keep working hard, learn the stuff and keep helping others in whatever capacity I can. Definitely, one day it will do wonders. I am confident about that 😀. Thank you for the kind words and keep learning and please share video with your friends who are into Data Engineering.
@shwetajaiswal1380
@shwetajaiswal1380 2 года назад
@@TheBigDataShow definitely definitely no doubt in it
@sameerbhosale4639
@sameerbhosale4639 Год назад
Great work!, this is very insightful and informative for aspiring data engineers. Can you please also do mock interviews for advanced rounds like designing data pipelines.
@amrita5222
@amrita5222 2 года назад
Very helpful initiative.
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Amrita
@varuntirupati2566
@varuntirupati2566 11 месяцев назад
@ankur I'm not sure how the lead solution works for actordirector problem because in the solution that was provided by interviewee is comparing only weights and not consecutiveness but this query will work only for those 3 records. here is the sample data and query that gives the wrong result. with weights as ( select 1 as id, 73 as wt union all select 3 as id, 73 as wt union all select 4 as id, 73 as wt union all select 5 as id, 80 as wt union all select 6 as id, 80 as wt union all select 7 as id, 80 as wt ), weights_modified as ( select * , lead(wt,1) over(order by id) as next_1, lead(wt,2) over(order by id) as next_2 from weights ) select wt from weights_modified where wt = next_1 and next_1 = next_2
@gudiatoka
@gudiatoka 11 месяцев назад
If and..then only id 1 will be output..so it should be or with lead lag
@pradnya8150
@pradnya8150 11 месяцев назад
i think below solution will work SELECT wt FROM ( SELECT id, wt, LEAD(wt,1) OVER(ORDER BY id) as nxt1, LEAD(wt,2) OVER(ORDER BY id) as nxt2, LAG(wt,2) OVER(ORDER BY id) as prv1, LAG(wt,2) OVER(ORDER BY id) as prv2 FROM Stadium ) t WHERE (wt = nxt1 AND nxt1 = nxt2) OR (wt = nxt1 AND nxt1 = prv1) OR (wt = prv1 AND prv1 = prv2)
@sandhyarani-b7t
@sandhyarani-b7t 6 месяцев назад
very information
@rishabhranjan7378
@rishabhranjan7378 2 года назад
Great work
@rishabhranjan7378
@rishabhranjan7378 2 года назад
Good one
@sushamakumari4886
@sushamakumari4886 Год назад
Sir ,are you talking mock interview for freshers ?
@prajwalmahale2850
@prajwalmahale2850 2 года назад
Thank you for such a informative video
@TheBigDataShow
@TheBigDataShow 2 года назад
You are welcome
@shwetankdhruva866
@shwetankdhruva866 10 месяцев назад
for the last qns can i use np.unique(arr) in python which mentain the order also give us the unique value from the arr ?? where np stand for numpy
@tamizh2003
@tamizh2003 9 месяцев назад
2nd question why this much complication. select wt from weight group by wt having count(wt)>=3;
@vivekshirsat9249
@vivekshirsat9249 9 месяцев назад
No the question is we want wt in consecutive manner as three time We cant just use count function otherwise it will give count of all the wt which is present in the dataset for eg here 73 is 3 times what if there is another id 10 and wt 73 so the count function considers id 10 also
@rahulyeole6411
@rahulyeole6411 2 года назад
Good explanation
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Rahul
@AdityaKommu1
@AdityaKommu1 Год назад
Print(list(set(given_list)[:val])
@rounaksarawagi3772
@rounaksarawagi3772 2 года назад
Great
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Rounak
@kamalnayan9157
@kamalnayan9157 2 года назад
Great content! Thanks !
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Kamal
@ArvindKumar-jk9qn
@ArvindKumar-jk9qn 2 года назад
This is useful
@kd_witty
@kd_witty 2 года назад
Helpful
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Kuldeep
@champfamily7508
@champfamily7508 10 месяцев назад
Case statement use koro..
@danishthev-log2264
@danishthev-log2264 Год назад
That's great ❤
@champfamily7508
@champfamily7508 10 месяцев назад
distinct use koro
@renukasrivastava1167
@renukasrivastava1167 Год назад
Very help full
@akbunny944
@akbunny944 2 года назад
Very helpful initiative.
@TheBigDataShow
@TheBigDataShow 2 года назад
Thanks Ashish
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