Big Data Engineer Mock Interview | Real-time Project Questions | Amount of Data | Cluster Size
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- เผยแพร่เมื่อ 8 ก.ค. 2024
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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, Hitesh, / hitesh1234 shares invaluable insights and practical advice coming from his extensive experience.
Our talented guest interviewee, Pratik Kamble / pratik-kamble-87bb52118 has an impressive knack to answering the interview questions in a very well eloquent manner.
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Discussed Questions : Timestamp
2:56 Project discussion.
5:09 What volume of data did you handle daily?
5:43 What challenges did you face?
7:53 What types of joins have you used?
8:34 Explain storage memory in Spark.
11:58 What is the lineage graph in Spark?
11:04 Difference between ADLS and Azure Synapse Analytics.
17:56 Explain Azure Data Factory.
19:07 Difference between control flow and data flow in ADF.
21:51 Discuss caching and persist in Spark.
23:54 What notification services have you used?
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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
Sumit Sir kindly make a video on a person who has transition from non-It to Data Engineering profile it will be really helpful
Have that planned as well. Will be released in the upcoming weeks
Please take interview for freshers or 1+ year people
Definitely, That would be covered in the upcoming videos
Good Pratik
Thank you so much for the great content!. Please continue this series. Is it possible to get a real time industry project in BFSI (Insurance) domain .
Happy to know that you are finding the content insightful. Will be planning for the projects probably after this series
hi Sumit Sir pl Release 1 or 2 videos of the interview series AWS Dataengineer side
coming soon