Big Data Live Interview | Data Engineering Interview | Apache Spark Interview | Trendytech

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ะŸะพะบะฐะทะฐั‚ัŒ ะพะฟะธัะฐะฝะธะต

I have trained over 20,000+ professionals in the field of Data Engineering in the last 5 years.

๐–๐š๐ง๐ญ ๐ญ๐จ ๐Œ๐š๐ฌ๐ญ๐ž๐ซ ๐’๐๐‹? ๐‹๐ž๐š๐ซ๐ง ๐’๐๐‹ ๐ญ๐ก๐ž ๐ซ๐ข๐ ๐ก๐ญ ๐ฐ๐š๐ฒ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐ญ๐ก๐ž ๐ฆ๐จ๐ฌ๐ญ ๐ฌ๐จ๐ฎ๐ ๐ก๐ญ ๐š๐Ÿ๐ญ๐ž๐ซ ๐œ๐จ๐ฎ๐ซ๐ฌ๐ž - ๐’๐๐‹ ๐‚๐ก๐š๐ฆ๐ฉ๐ข๐จ๐ง๐ฌ ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ!

"๐€ 8 ๐ฐ๐ž๐ž๐ค ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ ๐๐ž๐ฌ๐ข๐ ๐ง๐ž๐ ๐ญ๐จ ๐ก๐ž๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐œ๐ซ๐š๐œ๐ค ๐ญ๐ก๐ž ๐ข๐ง๐ญ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ๐ฌ ๐จ๐Ÿ ๐ญ๐จ๐ฉ ๐ฉ๐ซ๐จ๐๐ฎ๐œ๐ญ ๐›๐š๐ฌ๐ž๐ ๐œ๐จ๐ฆ๐ฉ๐š๐ง๐ข๐ž๐ฌ ๐›๐ฒ ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ข๐ง๐  ๐š ๐ญ๐ก๐จ๐ฎ๐ ๐ก๐ญ ๐ฉ๐ซ๐จ๐œ๐ž๐ฌ๐ฌ ๐š๐ง๐ ๐š๐ง ๐š๐ฉ๐ฉ๐ซ๐จ๐š๐œ๐ก ๐ญ๐จ ๐ฌ๐จ๐ฅ๐ฏ๐ž ๐š๐ง ๐ฎ๐ง๐ฌ๐ž๐ž๐ง ๐๐ซ๐จ๐›๐ฅ๐ž๐ฆ."

๐‡๐ž๐ซ๐ž ๐ข๐ฌ ๐ก๐จ๐ฐ ๐ฒ๐จ๐ฎ ๐œ๐š๐ง ๐ซ๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐Ÿ๐จ๐ซ ๐ญ๐ก๐ž ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ -

Big Data Live Interview to give you a feel on how you can expect the interviews.

Questions asked -

1. can you introduce yourself.
2. how much experience do you have in big data & what's your total experience.
3. can you tell me about the latest big data project that you worked on.
4. if your sqoop job is not performing well then what all problems might be there & how can you rectify that.
5. what all hive optimizations have you worked on.
6. what is spark & why spark
7. rdd vs dataframe vs dataset
8. if you get an out of memory error how will you track that
9. What is the volume and velocity of data that you get on daily basis in your project?
10. what's the most challenging thing you faced in your project.
11. what's the size of cluster you use.
12. what's your role in your big data project
13. what is the configuration of each node
14. is it on-premise or on cloud.

#bigdatainterview #sparkinterview #dataengineeringinterview

  1. Sumit Mittal
  2. big data interview
  3. big data mock interview
  4. hadoop interview
  5. apache spark interview
  6. data engineering interview
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This is ok upto some extent theoretical real big data interviews starts with Hacker rank test, writing code by sharing screen, complex sql, scala, design and distributed architecture and many more๐Ÿ˜ƒ. I'm not making afraid for new folks but just shared as it was my personal experience to land into Big Data tech.

Karmihir
ะะฒั‚ะพั€

Thanks for sharing this. Can you please describe more about spark out of memory error with notes in later video.

ank
ะะฒั‚ะพั€

Thanks sir for sharing the valuable content

manikantavinukonda
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Can you please explain how big data will work in insurance domain in production? This would be really helpful.

priyankashaw
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My motivation to study big data is sir,

nocode
ะะฒั‚ะพั€

Amazing... would be definitely helpful . Thanks for sharing ๐Ÿ‘

abdulfaheem
ะะฒั‚ะพั€

Thanks for sharing Sumit Sir, When is your next Batch of Big Data is going to start?

kesavverma