ะ ะตั าะฐัะฐะปะดั 16,429
๐๐จ ๐๐ง๐ก๐๐ง๐๐ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ซ๐๐๐ซ ๐๐ฌ ๐ ๐๐ฅ๐จ๐ฎ๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ, ๐๐ก๐๐๐ค trendytech.in/?src=youtube&su... for curated courses developed by me.
I have trained over 20,000+ professionals in the field of Data Engineering in the last 5 years.
๐๐๐ง๐ญ ๐ญ๐จ ๐๐๐ฌ๐ญ๐๐ซ ๐๐๐? ๐๐๐๐ซ๐ง ๐๐๐ ๐ญ๐ก๐ ๐ซ๐ข๐ ๐ก๐ญ ๐ฐ๐๐ฒ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐ญ๐ก๐ ๐ฆ๐จ๐ฌ๐ญ ๐ฌ๐จ๐ฎ๐ ๐ก๐ญ ๐๐๐ญ๐๐ซ ๐๐จ๐ฎ๐ซ๐ฌ๐ - ๐๐๐ ๐๐ก๐๐ฆ๐ฉ๐ข๐จ๐ง๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ!
"๐ 8 ๐ฐ๐๐๐ค ๐๐ซ๐จ๐ ๐ซ๐๐ฆ ๐๐๐ฌ๐ข๐ ๐ง๐๐ ๐ญ๐จ ๐ก๐๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐๐ซ๐๐๐ค ๐ญ๐ก๐ ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ ๐จ๐ ๐ญ๐จ๐ฉ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ ๐๐๐ฌ๐๐ ๐๐จ๐ฆ๐ฉ๐๐ง๐ข๐๐ฌ ๐๐ฒ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ข๐ง๐ ๐ ๐ญ๐ก๐จ๐ฎ๐ ๐ก๐ญ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ ๐๐ง๐ ๐๐ง ๐๐ฉ๐ฉ๐ซ๐จ๐๐๐ก ๐ญ๐จ ๐ฌ๐จ๐ฅ๐ฏ๐ ๐๐ง ๐ฎ๐ง๐ฌ๐๐๐ง ๐๐ซ๐จ๐๐ฅ๐๐ฆ."
๐๐๐ซ๐ ๐ข๐ฌ ๐ก๐จ๐ฐ ๐ฒ๐จ๐ฎ ๐๐๐ง ๐ซ๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ซ ๐ญ๐ก๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ -
๐๐๐ ๐ข๐ฌ๐ญ๐ซ๐๐ญ๐ข๐จ๐ง ๐๐ข๐ง๐ค (๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐๐๐๐ฌ๐ฌ ๐๐ซ๐จ๐ฆ ๐๐ง๐๐ข๐) : rzp.io/l/SQLINR
๐๐๐ ๐ข๐ฌ๐ญ๐ซ๐๐ญ๐ข๐จ๐ง ๐๐ข๐ง๐ค (๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐๐๐๐ฌ๐ฌ ๐๐ซ๐จ๐ฆ ๐จ๐ฎ๐ญ๐ฌ๐ข๐๐ ๐๐ง๐๐ข๐) : 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
Ganesh Kudala, / ganesh-kudale-50bb14ab our seasoned guest interviewer, offers invaluable insights and practical advice drawn from his extensive experience in the Big Data domain.
Our proficient guest interviewee, SreeLakshmi Gosala, / sreelakshmi-gosala demonstrates an exceptional approach to tackling coding round interview questions in PySpark.
Link of Free SQL & Python series developed by me are given below -
SQL Playlist - โข SQL tutorial for every...
Python Playlist - โข Complete Python By Sum...
Don't miss out - Subscribe to the channel for more such informative interviews and unlock the secrets to success in this thriving field!
Social Media Links :
LinkedIn - / bigdatabysumit
Twitter - / bigdatasumit
Instagram - / bigdatabysumit
Student Testimonials - trendytech.in/#testimonials
Timestamp : Questions Discussed
1:10 Introduction
2:38 Differences between Spark Core APIs and Higher-Level APIs?
5:00 RDD vs DataFrames vs Spark SQL: Which is the recommended approach in Spark?
6:22 What is a DAG? When is a DAG executed?
8:44 Explain Spark's job, stages, and tasks.
10:00 How does Spark execute a job from action invocation?
11:32 How to determine the number of partitions in a dataframe?
13:00 Pyspark Coding Question
18:03 Which is more efficient: inferring a schema or enforcing it?
20:06 Ways to enforce a schema?
24:05 DataFrame Read Modes?
26:00 DataFrame write modes?
28:04 What is Databricks, and what advantages does it offer over plain vanilla versions?
29:50 Explain medallion architecture in detail ?
Tags
#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs