Big Data Project Explained -1

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  • เผยแพร่เมื่อ 14 ม.ค. 2025

ความคิดเห็น • 65

  • @naveenchenamarla642
    @naveenchenamarla642 3 ปีที่แล้ว +16

    Very Good and important video. Can you, if possible, create a video by doing practically using a dataset in this pipeline model? It would be very helpful for us :)

  • @TannerBarcelos
    @TannerBarcelos ปีที่แล้ว +3

    This was massively helpful in getting me a little more understanding of how all this stuff works. At work I’m being requested to help on some big data applications that follow somewhat of a similar data flow but given I’m not a data engineer, all this has been confusing and overwhelming. This provided me enough of the clarity I needed to help me understand my work and how it’s not all magic!

  • @viswajitnayak8325
    @viswajitnayak8325 3 ปีที่แล้ว +1

    wow man .. just wow..... the simplest explanation I have seen .. I was easily able to relate to my etl projects .. and now am very curious to start my hands-on ... i wish could have come to this video of yours earlier .... please upload more videos.... :)

  • @chrisleggett7877
    @chrisleggett7877 3 ปีที่แล้ว +2

    Great video! Thank you for sharing your architecture and project examples.

  • @sivaramsivasakthivel799
    @sivaramsivasakthivel799 3 ปีที่แล้ว +3

    Thanks for the explanation. Can you please help to clarify the below two questions? 1.Can you give details about the volume of the data involved in this project.2.Can you explain more about the location of the shell script(where inside the cluster) used to call the jar will be placed

  • @bilal-mx2jw
    @bilal-mx2jw 5 หลายเดือนก่อน

    This is what im searching for man thank you so much 💝

  • @dikaneshdnesh4693
    @dikaneshdnesh4693 3 ปีที่แล้ว +3

    Eagerly waiting for next videos. Wonderful explanation buddy. Keep rocking and please train us along with you in this beautiful startup of TH-cam session. My full support for you buddy❤️❤️❤️.

  • @navk4960
    @navk4960 ปีที่แล้ว

    Very very very useful knowledge sharing

  • @bsvrangaraju9851
    @bsvrangaraju9851 2 ปีที่แล้ว

    Very clean and clear explanation.Understood very well.Waiting for others videos.

  • @pirate11n11
    @pirate11n11 3 ปีที่แล้ว +2

    This is great, even we are using similar on-prem architecture. If possible can you make a video on migrating this project to cloud.. like replacement for spark, hive, sqoop, hdfs in aws/gcp?

  • @pridename2858
    @pridename2858 2 ปีที่แล้ว

    Excellent information, great job.

  • @amittaywade8753
    @amittaywade8753 3 ปีที่แล้ว

    This use case is helping me a lot in my current project, Your explanation cleared my so many doubts thanks buddy ! :)

  • @praneethbhat6361
    @praneethbhat6361 2 ปีที่แล้ว

    Beautifully explained. We can get complete overview of big data project. Bro please make a small real time pyspark project from end to end like what you have explained in the video. Really it will help us a lot bro.

  • @AkHiL-cg3qb
    @AkHiL-cg3qb 3 ปีที่แล้ว

    very informative and usefull thnq bro

  • @prathivenkatasaipavan9909
    @prathivenkatasaipavan9909 3 ปีที่แล้ว

    Very great session
    More to come

  • @AWSoptimization
    @AWSoptimization 3 ปีที่แล้ว +1

    Thank You for this video. Can you explain more on audit tables, error handling & frequent fall outs.

  • @meghana_g87
    @meghana_g87 3 ปีที่แล้ว

    Really helpful content. Please do more of such Project explanation videos. Thanks for sharing

  • @HemanthKumar-kc5os
    @HemanthKumar-kc5os 3 ปีที่แล้ว

    Thanks a lot bro.Waiting for another video on big data projects

  • @poojapatil05
    @poojapatil05 3 หลายเดือนก่อน

    Pls always make a videos in English only na some vdos in Tamil language some pls don’t understand Tamil like me that’s why but you explain so clear and understandable that’s really helpful 😊

    • @dataengineeringvideos
      @dataengineeringvideos  3 หลายเดือนก่อน

      Thanks , all these videos are available in English too 😃

  • @ririraman7
    @ririraman7 2 ปีที่แล้ว

    Awesome! Could not thank you enough!

  • @jayanthvik
    @jayanthvik ปีที่แล้ว

    thanks bro very clear!

  • @indhumathy7648
    @indhumathy7648 2 ปีที่แล้ว

    Very informative bro… thank you so much.. request you to put few more samples of projects please

  • @garnet7904
    @garnet7904 2 ปีที่แล้ว

    hi really good explaination sir

  • @simhakotni
    @simhakotni 3 ปีที่แล้ว

    Good work. Thanks for sharing.

  • @rakeshjadhav1618
    @rakeshjadhav1618 3 ปีที่แล้ว

    Very helpful information buddy.

  • @Sharmasurajlive
    @Sharmasurajlive 3 ปีที่แล้ว

    Good work bro👍Jhakaas !!

  • @ankitayadav6224
    @ankitayadav6224 2 ปีที่แล้ว

    Thanks a lot 🙂

  • @shruthiv463
    @shruthiv463 3 ปีที่แล้ว

    Good one. Thanks a lot!

  • @lajpatb.l8340
    @lajpatb.l8340 3 ปีที่แล้ว

    Thank you Gautham, very useful
    please upload more issues or challenge faced and how you resolved it?

  • @harshal3123
    @harshal3123 2 ปีที่แล้ว

    Thanks it helps alot

  • @sachinchandanshiv7578
    @sachinchandanshiv7578 2 ปีที่แล้ว

    Big thanks Sir...!

  • @swapnilendole1366
    @swapnilendole1366 3 ปีที่แล้ว

    Thanks for this video, help full this video for us, can you create one more real-time use-case video.

  • @jananiin3390
    @jananiin3390 2 ปีที่แล้ว

    Thank you for the explanation. Can you please explain about data lake preparation in Big data.

  • @mehmetkaya4330
    @mehmetkaya4330 2 ปีที่แล้ว

    Thank you!

  • @sushmareddi3103
    @sushmareddi3103 3 ปีที่แล้ว +1

    Thanks alot...It is really great explanation. Could you please say can we encrypt and decrypt the data after storing it into Hive and then use it for spark transformation

    • @arvindarigela1
      @arvindarigela1 2 ปีที่แล้ว

      excuse me mam have you did any project in big data and hadoop ??

  • @kjvmpandurangarao3536
    @kjvmpandurangarao3536 2 ปีที่แล้ว

    Hi sir how to connect with you if we are having any doubts...

  • @omkarm7865
    @omkarm7865 3 ปีที่แล้ว

    Helpful content

  • @kishorekumarkatte3202
    @kishorekumarkatte3202 3 ปีที่แล้ว +1

    How can Hive be used to store Big data files.It can just store metafiles in the metastore.Actual data blocks are stored in HDFS and its mapped to hive tables.Correct me if I am wrong

    • @himalayasaikia5762
      @himalayasaikia5762 2 ปีที่แล้ว +1

      Yes you are right...files are stored in HDFS and the metastore db is created in derby or mysql

  • @worldbankofvideos8643
    @worldbankofvideos8643 2 ปีที่แล้ว

    hi how much scope for hadoop now and in future

  • @pkcommence4601
    @pkcommence4601 2 ปีที่แล้ว

    how do i get this sample data... i want to implement simple project

  • @ranvijaymehta
    @ranvijaymehta 2 ปีที่แล้ว

    Thanks Sir

  • @rohanrohan2758
    @rohanrohan2758 2 ปีที่แล้ว

    where to find the data sets to build the project shown in the video

  • @NishantSingh-w9u7w
    @NishantSingh-w9u7w 10 หลายเดือนก่อน

    is there any sites that has these sort of data

  • @sachinchandanshiv7578
    @sachinchandanshiv7578 2 ปีที่แล้ว

    Hi Sir,
    One of my interview they asked, how you manage your source code? Can you please guide me on this?

  • @Data_Engineering_By_Sri
    @Data_Engineering_By_Sri 2 ปีที่แล้ว

    You mentioned sqoop used to transfer data from rdbms to hive or hive to rdbms right ?..db2 is also rdbms ??

  • @AVillager5
    @AVillager5 3 ปีที่แล้ว

    hi I have 1.5 years experience on Apache nifi,what should needs to be done to get a role in data engineering profile curruntly im serving notice period. please suggest me.

  • @DepMahesh
    @DepMahesh 2 ปีที่แล้ว

    Hi, Can we bring production data into dev and uat environment? Is that allowed...
    Please ignore, I have watched your deployment video, and got the understanding that we won't be having production data in Dev and test environments.. thanks

  • @KoriviSandhiPriya
    @KoriviSandhiPriya ปีที่แล้ว

    can you send link for bigdata project explained -2

  • @shailabh3306
    @shailabh3306 3 ปีที่แล้ว +1

    For a fresher what do you suggest , getting started with data engineering or ML?
    In my college placement most companies are coming for ML profile but I'm more interested towards data engineering part
    I'm confused
    Can you please suggest sir?

    • @dataengineeringvideos
      @dataengineeringvideos  3 ปีที่แล้ว +1

      please go for data engineering roles , because of MR it has less scope for now in industry ( thats the fact actually )

  • @geta9722
    @geta9722 3 ปีที่แล้ว

    It is great

  • @SaiKumarkaranam
    @SaiKumarkaranam 3 ปีที่แล้ว

    Hi bro do you provide any training or support?, Please revert

  • @namnguyenngoc1948
    @namnguyenngoc1948 ปีที่แล้ว

    bring data into hive by sqoop, now hive play role is datalake ?, to my knowledge hive is a data warehouse system.

  • @kavithabalasubramaniyan3390
    @kavithabalasubramaniyan3390 2 ปีที่แล้ว

    great

  • @anupshastry5969
    @anupshastry5969 ปีที่แล้ว

    Will hive stores data

  • @charansai1133
    @charansai1133 3 ปีที่แล้ว

    is it better to do masters on big data i am at my btech 3rd year sir plz advice

    • @dataengineeringvideos
      @dataengineeringvideos  3 ปีที่แล้ว +2

      Btech is wide enough for getting into big data , masters not req but if you are interested you can do .

  • @arvindarigela1
    @arvindarigela1 2 ปีที่แล้ว

    can you please this source code
    please please it is very very important for me

  • @shadabsiddiqui28
    @shadabsiddiqui28 2 ปีที่แล้ว

    great explanation

  • @shadabsiddiqui28
    @shadabsiddiqui28 2 ปีที่แล้ว

    thank you sir