Bigdata Mock Interview for 3 to 4 YOE with Feedback | Hadoop, Spark, Hive Interview Questions

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12 окт 2024

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Комментарии : 12

@reemasharma4442 2 года назад

dear sir thanks you are doing great job , please make vedio what is sequqnce we should follow your playlist to gain expertise in data engineering

@reemasharma4442 2 года назад

In case you also take live classes for big data engineering and also cover azure

@ankur2608 2 года назад

Hi sir, Thankyou for uploading these types of videos it is very helpful for us. I have attended some of the big data interviews and from my experience i have observed that most of the question is related to use cases on spark and hive so sir it is my request with can please cover thoses types of questions in the your mock interview so that it will help us

@localmartian9047 2 года назад

What do u mean by use cases, do u mean scenario based code questions

@ankur2608 2 года назад

@@localmartian9047 yes Sir Scenario based questions

@localmartian9047 2 года назад

@@ankur2608 u mean code questions where they give some sample records from csv/json and do some transformation on it or scenario like 'input of 1gb per hour, how will u design pipeline for it? What tools ull use'?

@ankur2608 2 года назад

@@localmartian9047 Sir i want scenario based questions where we read data with different file formats and perform transformation on them , also some questions like how we will increase the efficiency of computation in different scenarios, and it will very much helpful if you will cover the pipeline part creation as well. and tools we use depending on the velocity of data.

@reemasharma4442 2 года назад

sir azure is getting very popular things same but i am hearing azure ecosystem getting peopular , core things are same so please make vedios on azure data engineering also

@sri5259 Год назад

When you submit spark appliction how it will do internally?

@loveanimals9489 Год назад

Hi..it was really nice interview session. I have a question so could you please answer me if possible... suppose one job is running daily and some day it is taking more than expected time to execute so how can we resolve this issue and what is the couse for this???...plz give me the answer

@selvansenthil1 Год назад

If it's happens only on few days then check the resources.. targets/source might be busy, cluster might not have enough resources, data might be more on that day

@manishpathak6262 2 года назад

Interviewer himself lacks some common concepts. He was wrong about coalesce and repartition, In coalesce there is less shuffle, not explaning else the comment would become long. Also he was wrong about predicate pushdown, there are scenarios where filter would happen before join and other scenarios where join would happen before filter.