Big Data Engineering Mock Interview | Big Data Pipeline | AWS Cloud Services | Project Architecture

𝐓𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐬 𝐚 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐂𝐡𝐞𝐜𝐤 https://trendytech.in/?src=youtube&sub=mockdec for curated courses developed by me. I have trained over 20,000+ professionals in the field of Data Engineering in the last 5 years. 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 𝐒𝐐𝐋? 𝐋𝐞𝐚𝐫𝐧 𝐒𝐐𝐋 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐰𝐚𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐬𝐨𝐮𝐠𝐡𝐭 𝐚𝐟𝐭𝐞𝐫 𝐜𝐨𝐮𝐫𝐬𝐞 - 𝐒𝐐𝐋 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦! "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) : https://rzp.io/l/SQLINR 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐨𝐮𝐭𝐬𝐢𝐝𝐞 𝐈𝐧𝐝𝐢𝐚) : https://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, Satinder, https://www.linkedin.com/in/satinder-singh-699aab2b/ shares invaluable insights and practical advice coming from her extensive experience. Our talented guest interviewee Aditya Patil, https://www.linkedin.com/in/ap-patil/ has an impressive approach to answering the interview questions in a very well articulated manner. Link of Free SQL & Python series developed by me are given below - SQL Playlist - https://www.youtube.com/playlist?list=PLtgiThe4j67rAoPmnCQmcgLS4iIc5ungg Python Playlist - https://www.youtube.com/playlist?list=PLtgiThe4j67pQSwkaEF9uHXzr8Td9IEpV 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 - https://www.linkedin.com/in/bigdatabysumit/ Twitter - https://twitter.com/bigdatasumit Instagram - https://www.instagram.com/bigdatabysumit/ Student Testimonials - https://trendytech.in/#testimonials Discussed Questions : Timestamp 2:34 Brief overview of projects. 3:19 Describe your data pipeline flow and architecture. 5:10 What transformations do you use, and in which format do you write data to Redshift? 6:44 How do you handle null values? 9:03 Which file format do you use for end-user data? 9:50 Why is Parquet preferred over ORC? 11:10 What are the join types in Hive? 12:07 Which types of joins are used to avoid shuffling in Hive and PySpark? Do you know the specific term? 12:53 Explain how broadcast join avoids shuffling. 14:07 Which property controls broadcast join in Spark? 14:40 How do you start a Spark application in PySpark? 16:09 What does the builder do in Spark session creation? 17:43 What are the partitioning types in Hive? 18:36 Difference between managed and external tables in Hive. 19:16 Have you performed Spark performance tuning? 19:36 Difference between repartition and coalesce in Spark? 20:25 Have you used NoSQL databases? 21:02 SQL coding question Tags #mockinterview #bigdata #career #dataengineering #data #datascience #dataanalysis #productbasedcompanies #interviewquestions #apachespark #google #interview #faang #companies #amazon #walmart #flipkart #microsoft #azure #databricks #jobs