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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, Suman Basu, / basusuman23 shares invaluable insights and practical guidance drawn from his extensive expertise in the Big Data Domain.
Our expert guest interviewee, Vishal Sharma, / vishalsharma1418 has an interesting approach to answering the interview questions on Apache Spark, SQL and Azure Cloud Services.
Link of Free SQL & Python series developed by me are given below -
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TIMESTAMPS : Questions Discussed
00:00 Introduction
01:30 Hadoop Architecture
02:36 MapReduce Data Processing
03:55 Name Node and Data Node
04:50 Shuffling in MapReduce
06:21 Spark Architecture
08:31 Resource Manager vs. Application Master
09:34 What is RDD?
10:46 Map Job Stages and Factors
12:09 Partitioning in MapReduce Jobs
14:33 CountByValue vs. ReduceByKey
15:51 Spark Optimization Techniques
19:34 Predicate Pushdown
20:19 Removing Duplicates in DataFrame
21:46 Partitioning vs. Bucketing
24:11 Coding Questions
37:37 ADLS Gen2 vs. Blob Storage
39:27 Availability Set in Azure
40:30 Running Databricks Notebooks
41:39 Mount Point in ADLS Gen2
42:10 File Formats
42:55 Datalake vs. Datalakehouse
Music track: Retro by Chill Pulse
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#mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs
6 июл 2024
