Skip to contentSkip to footer

Big Data Interview Questions

Salaries
Interviews

1,784 big data interview questions shared by candidates

--Round 1 Questions on Resume --Round 2 1. why hive column should not be added like alter table 2. what are narrow transformations 3. what are stages and what are types of stages? 4. Default how many stages in job 5. deploy the code in production 6. comparision of oozie and jeninks 7. Can you connect spark sql to RDBMS 8. spark and yarn architecture 9.Word count in file using accumulator 10.SQL question using analytical function ---Round 3 1.what is Object 2.what is inheritance 3.what is polymorphisim 4.How to read a binary file, like zip, gzip 5.How to read all files in zipped file 6.How to get filelist from hadoop location in spark 7.How to read a file of different size effecienty files are 1MB, 16MB, etc.. 8.How to create a dataframe of Map type 9.What is broadcast, accumulator 10.What is cache and repartition 11.Difference between cache and broadcast
avatar

Big Data Engineer

Interviewed at Société Générale

3.7★
Oct 24, 2018

--Round 1 Questions on Resume --Round 2 1. why hive column should not be added like alter table 2. what are narrow transformations 3. what are stages and what are types of stages? 4. Default how many stages in job 5. deploy the code in production 6. comparision of oozie and jeninks 7. Can you connect spark sql to RDBMS 8. spark and yarn architecture 9.Word count in file using accumulator 10.SQL question using analytical function ---Round 3 1.what is Object 2.what is inheritance 3.what is polymorphisim 4.How to read a binary file, like zip, gzip 5.How to read all files in zipped file 6.How to get filelist from hadoop location in spark 7.How to read a file of different size effecienty files are 1MB, 16MB, etc.. 8.How to create a dataframe of Map type 9.What is broadcast, accumulator 10.What is cache and repartition 11.Difference between cache and broadcast

Viewing 1131 - 1140 interview questions

Glassdoor has 1,784 interview questions and reports from Big data interviews. Prepare for your interview. Get hired. Love your job.