Cleared 15 Big Data Interviews | Live Interview Experiences | You can do it !

preview_player
Показать описание
In this video, I have explained how we can stay motivated and clear Big data interviews, related to interview questions on Apache Spark, HIVE and Amazon EMR, GCP, and Microsoft Azure. This is a real interview experience of a candidate who had done hard work in big data preparation and cleared more than 15 interviews in the transition to the Big Data Domain.

End to End pipeline Introduction Videos:
Pyspark End to End Pipeline

Spark + Scala End to End Pipeline

Complete END to END big data pipeline courses are available now!!
Course Links:

Spark + SCALA course available at :

PySpark course available at :

Starter Pack available at just: ₹549 (For Indian Payments) or $9 (For non-Indian payments)
Extended Pack available at just: ₹1299 (For Indian Payments) or $19 (For non-Indian payments)
Рекомендации по теме
Комментарии
Автор

Thank you team, helps a lot for people attending Big data interviews

sridhark
Автор

Thank you for uploading such video, It is inspiring for people like who are trying to get into Big data . Any suggestion for higher experience people like 10-11 years exp. I am am having 11+ years and trying to get into big data .

MrKartikkudada
Автор

even I'm cleared 1st round in my first interview i have two year of experience but second round i'm rejected

RajeshKumar-szmq
Автор

Awesome video!! Motivated.
Thank you GKCodelabs.
May I know what %hike can we ask while switching?

NishaKumari-zqbr
Автор

Tq sir can fresher servive in big data without experience.

mohammadjunaidshaik
Автор

Hi actually folks looking for more scenario base session kindly prepare more sessions on it

gsreenivasulu
Автор

Thanks GK codelabs and Sanatan. I am applying jobs with Spark, Databricks, Scala with Azure Data Lake and Data Factory. I have hands on experience but no project experience.
I have few questions, if you could please help:
1. When asked about use case in my project, I am not able give any satisfactory answer?
2. In case of incremental load, if there are suppose 70 columns, how will you compare and find the change. When I answered, that with the help of where clause comparing each columns, the interviewer was not satisfied. If you could please help how to handle such scenarios in production environment?

santanughosh