Row based vs Column based file formats | Hive Interview questions | Session 6 - Trendytech

  ะ ะตั‚ า›ะฐั€ะฐะปะดั‹ 12,392

Sumit Mittal

Sumit Mittal

ะšาฏะฝ ะฑาฑั€ั‹ะฝ

๐“๐จ ๐ž๐ง๐ก๐š๐ง๐œ๐ž ๐ฒ๐จ๐ฎ๐ซ ๐œ๐š๐ซ๐ž๐ž๐ซ ๐š๐ฌ ๐š ๐‚๐ฅ๐จ๐ฎ๐ ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ, ๐‚๐ก๐ž๐œ๐ค trendytech.in/... for curated courses developed by me.
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 -
๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ซ๐š๐ญ๐ข๐จ๐ง ๐‹๐ข๐ง๐ค (๐‚๐จ๐ฎ๐ซ๐ฌ๐ž ๐€๐œ๐œ๐ž๐ฌ๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐ˆ๐ง๐๐ข๐š) : rzp.io/l/SQLINR
๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ซ๐š๐ญ๐ข๐จ๐ง ๐‹๐ข๐ง๐ค (๐‚๐จ๐ฎ๐ซ๐ฌ๐ž ๐€๐œ๐œ๐ž๐ฌ๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐จ๐ฎ๐ญ๐ฌ๐ข๐๐ž ๐ˆ๐ง๐๐ข๐š) : rzp.io/l/SQLUSD
A very famous Big Data interview question:
Difference between row based vs column based file formats.
Complete hive interview series with famous interview questions. Subscribe for more videos. I will be adding videos regularly.
Hive is one of the most important part of big data interviews. you have a chance to prepare for hive interviews in a lot of depth now.
More details: trendytech.in/...
Sumit's LinkedIn profile: / bigdatabysumit
contact: 9108179578

ะŸั–ะบั–ั€ะปะตั€: 17
@vimal322
@vimal322 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Top notch! I always admire your patience and the clarity of your sessions to make sure everyone understands. Thanks Sumit! You are awesome ๐Ÿ˜ƒ
@sumitmittal07
@sumitmittal07 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
So nice of you
@vishalbhardwaj969
@vishalbhardwaj969 3 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Watched first video on KZbin without any dislike so far... Concept is very well explained
@gunvoak4374
@gunvoak4374 3 ะถั‹ะป ะฑาฑั€ั‹ะฝ
the best video I have watched on Row and Column based file formats
@vireshsaini705
@vireshsaini705 3 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Very good explanation with example...:)
@MrManish389
@MrManish389 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Superb sir... top class explanation,,, subscribed your channel...you explain very easily sir... thank you that we have got teacher like you..............
@nandakishore5198
@nandakishore5198 3 ะถั‹ะป ะฑาฑั€ั‹ะฝ
--row based format- rows are written in series writing is easy but for select it has to scan the entire data even for subset of columns suitable for faster writes suitable for more writes does do well in compression --column based file format structure of column based format file if subset of columns are req, then only that column set can be read suitable for data warehouse queries writing is not easy suitable for faster read suitable for more reads does well with compression due to specialized format for each column set --usecases row based: suitable for faster writes suitable for more writes does not do well in compression column based: suitable for faster read suitable for more reads does well with compression due to specialized format for each column set
@sunilsingh80
@sunilsingh80 3 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Great Teaching Sumit... Keep it up
@chinnachinna7025
@chinnachinna7025 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
This is really good and easily understandle session. Thanks for your efforts. Please start spark, explaining like this in awful way.
@sumitmittal07
@sumitmittal07 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Thank you, I will
@anjanashetty482
@anjanashetty482 3 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Amazing videos..explained so well i cannot forget these concepts forever with that much clarity its been explained..please help provide link for all interview questions will be helpful... Thanks in advance...
@MrManish389
@MrManish389 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Please upload a series of Spark,python and kafka tutorials if possible
@prathapanibalakrishna8198
@prathapanibalakrishna8198 2 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Wow very very good explanation ๐Ÿ‘๐Ÿ‘
@sumitmittal07
@sumitmittal07 2 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Glad you liked it
@srinivasasameer9615
@srinivasasameer9615 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Your videos are simply awesome please make more videos on spark with Scala too
@sumitmittal07
@sumitmittal07 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
I am glad that. you are liking the videos. Definitely I will plan for spark too.
@deepikakumari5369
@deepikakumari5369 4 ะถั‹ะป ะฑาฑั€ั‹ะฝ
Amazing contents.. your new subscriber :)
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