Live Data Engineering Coding Round Mock Interview | Apache Spark | Big Data Project

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"𝐀 8 𝐰𝐞𝐞𝐤 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐜𝐫𝐚𝐜𝐤 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐨𝐟 𝐭𝐨𝐩 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐛𝐲 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐚 𝐭𝐡𝐨𝐮𝐠𝐡𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐚𝐧 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞 𝐚𝐧 𝐮𝐧𝐬𝐞𝐞𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦."
𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 -
𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐈𝐧𝐝𝐢𝐚) : rzp.io/l/SQLINR
𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐨𝐮𝐭𝐬𝐢𝐝𝐞 𝐈𝐧𝐝𝐢𝐚) : rzp.io/l/SQLUSD
30 INTERVIEWS IN 30 DAYS- BIG DATA INTERVIEW SERIES
This mock interview series is launched as a community initiative under Data Engineers Club aimed at aiding the community's growth and development
Our highly experienced guest interviewer, Solon Kumar Das, / solondas shares invaluable insights and practical guidance drawn from his extensive expertise in the Big Data Domain.
Our expert guest interviewee, Dhruv Dubey, / dhruvadubey has an interesting approach to answering the interview questions on Spark, SQL & Big Data Project.
Link of Free SQL & Python series developed by me are given below -
SQL Playlist - • SQL tutorial for every...
Python Playlist - • Complete Python By Sum...
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Social Media Links :
LinkedIn - / bigdatabysumit
Twitter - / bigdatasumit
Instagram - / bigdatabysumit
Student Testimonials - trendytech.in/#testimonials
TIMESTAMPS : Questions Discussed
00:00 - Introduction
02:04 - Project Responsibilities
09:37 - Spark architecture
11:25 - When does shuffling happen? Before you trigger the groupBy or after?
12:23 - Major challenges you faced in your project
16:25 - Performance tuning techniques
18:15 - When do we use Partitioning and bucketing
20:02 - MapReduce drawbacks
21:38 - When do we use caching and when do we use persist
24:24 - Memory management in Spark
26:41 - Difference between DataFrame and Dataset
27:26 - File types in Spark
31:10 - Coding questions
Music track: Retro by Chill Pulse
Source: freetouse.com/music
Background Music for Video (Free)
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs

[@imranhossain1660]

select id,dept,salary,
avg(Salary) over(partition by dept) as avg_sal,
dense_rank() over(partition by dept order by salary desc) as rn
from emp100

[@jjayeshpawar]

for ele in s.split(' '):
if ele in d:
d[ele]+=1
else:
d[ele]=1
for key,val in {i : d[i] for i in sorted(d,key=d.get,reverse=True)}.items():
print(f'{key}|{val}')

[@arunsundar3739]

talented youngsters, good questions & good answers, learnt a lot, thank you very much :)

[@solondas96]

Thank you 😊

[@shilashm5691]

job --> stages --> tasks , dag scheduler, task scheduler missing in explanation

[@anupammishra2974]

S = """Data engineering is a good skill
Data is a new Oil
Data Enginering skill is massive"""

words = S.split()
dict1 = {}
for i in words:
dict1[i] = words.count(i)
print(dict1)