What Is Hadoop | Hadoop Tutorial For Beginners | Introduction to Hadoop | Hadoop Training | Edureka

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  • เผยแพร่เมื่อ 14 มิ.ย. 2024
  • 🔥 Edureka Hadoop Training: www.edureka.co/big-data-hadoo...
    This Edureka "What is Hadoop" tutorial ( Hadoop Blog series: goo.gl/LFesy8 ) helps you to understand how Big Data emerged as a problem and how Hadoop solved that problem. This tutorial will be discussing about Hadoop Architecture, HDFS & it's architecture, YARN and MapReduce in detail. Below are the topics covered in this tutorial:
    1) 5 V’s of Big Data
    2) Problems with Big Data
    3) Hadoop-as-a solution
    4) What is Hadoop?
    5) HDFS
    6) YARN
    7) MapReduce
    8) Hadoop Ecosystem
    Subscribe to our channel to get video updates. Hit the subscribe button above.
    Check our complete Hadoop playlist here: goo.gl/hzUO0m
    -------------------Edureka Big Data Training and Certifications-----------------------
    🔵 Edureka Hadoop Training: bit.ly/2YBlw29
    🔵 Edureka Spark Training: bit.ly/2PeHvc9
    🔵 Edureka Kafka Training: bit.ly/34e7Riy
    🔵 Edureka Cassandra Training: bit.ly/2E9AK54
    🔵 Edureka Talend Training: bit.ly/2YzYIjg
    🔵 Edureka Hadoop Administration Training: bit.ly/2YE8Nf9
    Instagram: / edureka_learning
    Facebook: / edurekain
    Twitter: / edurekain
    LinkedIn: / edureka
    - - - - - - - - - - - - - -
    How it Works?
    1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
    2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
    3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
    - - - - - - - - - - - - - -
    About the Course
    Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:
    1. Master the concepts of HDFS and MapReduce framework
    2. Understand Hadoop 2.x Architecture
    3. Setup Hadoop Cluster and write Complex MapReduce programs
    4. Learn data loading techniques using Sqoop and Flume
    5. Perform data analytics using Pig, Hive and YARN
    6. Implement HBase and MapReduce integration
    7. Implement Advanced Usage and Indexing
    8. Schedule jobs using Oozie
    9. Implement best practices for Hadoop development
    10. Work on a real life Project on Big Data Analytics
    11. Understand Spark and its Ecosystem
    12. Learn how to work in RDD in Spark
    - - - - - - - - - - - - - -
    Who should go for this course?
    If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
    1. Analytics professionals
    2. BI /ETL/DW professionals
    3. Project managers
    4. Testing professionals
    5. Mainframe professionals
    6. Software developers and architects
    7. Recent graduates passionate about building successful career in Big Data
    - - - - - - - - - - - - - -
    Why Learn Hadoop?
    Big Data! A Worldwide Problem?
    According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!
    The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.
    - - - - - - - - - - - - - -
    Opportunities for Hadoopers!
    Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself!
    For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).
    Customer Review:
    Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”

ความคิดเห็น • 61

  • @edurekaIN
    @edurekaIN  6 ปีที่แล้ว +2

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Hadoop Training and Certification Curriculum, Visit our Website: bit.ly/2Ozdh1I

  • @yashpatel9550
    @yashpatel9550 4 ปีที่แล้ว +16

    Instructor voice is just awesome...so soothing..

  • @lizravenwood5317
    @lizravenwood5317 4 ปีที่แล้ว +4

    When I see videos from edureka! I know I'm going to get quality teaching. Thanks.

  • @leenavin2005
    @leenavin2005 4 ปีที่แล้ว +2

    Thoroughly explained. Thanks.

  • @piyushgupta8302
    @piyushgupta8302 4 ปีที่แล้ว +1

    Thanks for the amazing and useful crisp information on hapoop. This have helped me in better understanding.

  • @sahilnagpal8393
    @sahilnagpal8393 5 ปีที่แล้ว +1

    By far the best explanation of how HDFS works. Appreciate EDUREKA.

    • @edurekaIN
      @edurekaIN  5 ปีที่แล้ว

      Hey Sahil, we are glad you feel this way. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

  • @collinfan2000
    @collinfan2000 7 ปีที่แล้ว +1

    A very good introduction to Hadoop. Thanks

    • @edurekaIN
      @edurekaIN  7 ปีที่แล้ว +2

      +collin fan, thanks for the wonderful feedback! We're glad you liked our tutorial.
      Here's another video that we thought you might like: th-cam.com/video/m9v9lky3zcE/w-d-xo.html.
      Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!

  • @bikkupopular
    @bikkupopular 5 ปีที่แล้ว +4

    Very informative and self-explanatory tutorial about Hadoop !! Thanks for the good work to spread knowledge.

    • @edurekaIN
      @edurekaIN  5 ปีที่แล้ว

      Hey Praveen, we are glad you found the video informative. Do stay tuned for more updates. Cheers!

  • @rishimuni2004
    @rishimuni2004 5 ปีที่แล้ว

    Very good introduction

  • @soldirix2666
    @soldirix2666 5 ปีที่แล้ว +1

    Very clear and concise tutorial! You make it look so easy.

    • @edurekaIN
      @edurekaIN  5 ปีที่แล้ว

      Thank you for the compliment! We strive to provide quality tutorials so that people can learn easily. We are glad that you liked our tutorial! Cheers!

  • @vinodkollipara416
    @vinodkollipara416 5 ปีที่แล้ว +1

    really helpful

  • @Puneetsharmain
    @Puneetsharmain 3 ปีที่แล้ว

    Clear and consise tutorials

  • @DataDynastyLab
    @DataDynastyLab 3 ปีที่แล้ว

    it was wonderful to experience the hadoop concept and how it works!

    • @edurekaIN
      @edurekaIN  3 ปีที่แล้ว

      We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @sundarb6673
    @sundarb6673 6 ปีที่แล้ว +1

    Thank you, it was a very good session.

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว

      Thank you for watching our videos and appreciating our work. Do subscribe to our channel and stay connected with us. Cheers :)

  • @sahasranamamv4719
    @sahasranamamv4719 3 ปีที่แล้ว

    Excellent teaching....

  • @coreypowe7214
    @coreypowe7214 3 ปีที่แล้ว +1

    Very Good Tutorial.. Good explanation of core concepts

  • @ramachandrayenda8152
    @ramachandrayenda8152 2 ปีที่แล้ว +1

    useful

  • @arushikalra8278
    @arushikalra8278 6 ปีที่แล้ว +1

    Great session !!

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว

      Thank you for watching our video. Do subscribe, like and share to stay connected with us. Cheers :)

  • @kencharlamadhu318
    @kencharlamadhu318 ปีที่แล้ว +1

    Really it's amazing explanation it's very useful to all

    • @edurekaIN
      @edurekaIN  ปีที่แล้ว

      Glad to hear that :) Keep learning with us !!

  • @wishniks
    @wishniks 6 ปีที่แล้ว +3

    Nice, informative lecture! Would be better if the pace can be a little slower.

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว

      Hey Nikhil, thank you for the feedback. We will definitely try to work on this on our future tutorials. Hoping to see you on our channel learning from us again. Cheers :)

    • @scimad
      @scimad 5 ปีที่แล้ว

      That's why 0.75x speed !

  • @ganeshkumar-rs3ol
    @ganeshkumar-rs3ol 4 ปีที่แล้ว

    Good explanation

  • @yeshaswinikomaragiri8892
    @yeshaswinikomaragiri8892 6 ปีที่แล้ว +1

    thankyou so much .. this tutorial really helped me a lot . Thank you sourav :)

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว

      We are glad to have helped, Yeshaswini! Sty connected with us and like, share and subscribe. Cheers :)

  • @manikakumari8234
    @manikakumari8234 5 ปีที่แล้ว +1

    In YARN architecture what is the use of MapReduce Status?

  • @shivani3206
    @shivani3206 3 ปีที่แล้ว

    great video

  • @sanooosai
    @sanooosai 2 ปีที่แล้ว

    good great thank you

    • @edurekaIN
      @edurekaIN  2 ปีที่แล้ว +1

      Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @SumanthLazarus
    @SumanthLazarus 5 ปีที่แล้ว

    Mapreduce analogy starts @25:19

  • @bhaktikantasendha4066
    @bhaktikantasendha4066 2 ปีที่แล้ว

    lovely session

    • @edurekaIN
      @edurekaIN  2 ปีที่แล้ว

      Thank you for your review : ) We are glad that you found our videos /contents useful . We are also trying our best to further fullqfill your requirements and enhance your expirence :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @pallavikumari9423
    @pallavikumari9423 2 ปีที่แล้ว

    Thankyou so much sir😀😊

    • @edurekaIN
      @edurekaIN  2 ปีที่แล้ว

      You're welcome 😊 Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @mahimsd7645
    @mahimsd7645 6 ปีที่แล้ว +1

    gr8.......
    can we write hadoop in Python also ?

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว

      Hey Mak, yes you can.Thank you for watching our video, we hope you liked it. Cheers :)

  • @jaswanthkrishnakumarpatnal816
    @jaswanthkrishnakumarpatnal816 5 ปีที่แล้ว

    What do you mean about resources and data nodes in Horizontal Scaling? Can I get more clarity on the both of those terms?

    • @edurekaIN
      @edurekaIN  4 ปีที่แล้ว

      Horizontal scalability is the ability to increase capacity by connecting multiple hardware or software entities so that they work as a single logical unit.

  • @danielhr6817
    @danielhr6817 6 ปีที่แล้ว +1

    thanks a lot sir for making such a nice video ... this session was so great .. need some suggestion from you as I work in IT role as system administrator so can you tell me whether this hadoop course will help me or not sir ? bcoz when I was watching ur video felt a bit difficult to understand . please tell me for the same .. thank you in advance Sir ..

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว

      Hey Daniel, moving into Big Data can be a very good career alternative for you. If you are looking to learn Big Data from scratch, then do check out our Big Data Hadoop Certification training here: www.edureka.co/big-data-and-hadoop
      Hope this helps :)

  • @fantamas06
    @fantamas06 6 ปีที่แล้ว +1

    why do not you tell abbreviation translation for HDFS for example.... Is it a Hadoop File system?

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว

      HDFS stand for Hadoop distributed file system. Hope it is clear now :)

  • @123ssima
    @123ssima 6 ปีที่แล้ว +1

    @edureka There are a lot of free videos in TH-cam for courses . What are the differences between these and paid online courses

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว +2

      Hey Simachala, these videos are of beginner/intermediate level which will help you in getting started with that particular technology. However, if you are looking to truly master the technology and make a career in it, then ou courses will be of great help. Our training is in in-line with the industry requirement of today. Hope this helps :)

  • @thiery572
    @thiery572 6 ปีที่แล้ว +1

    Do we really have to create the Map Reduce program (wordcount.java) from scratch? Gulp. I thought it was already created automatic somewhere by hadoop?
    Thanks for the lecture.

    • @edurekaIN
      @edurekaIN  6 ปีที่แล้ว +1

      Thank you for watching our video. We are glad to know that you liked and appreciated our work. Cheers :)

  • @rosypriyadarshni7679
    @rosypriyadarshni7679 7 ปีที่แล้ว

    what is the difference between volume and velocity? it looks same

    • @edurekaIN
      @edurekaIN  7 ปีที่แล้ว

      Hey Rosy, thanks for checking out our tutorial!
      Volume refers to the amount of data generated is very huge whereas velocity tells you that this large volume of data is getting generated at an accelerating rate or you can say in very short period of time. You can find more info in this Big Data tutorial blog: www.edureka.co/blog/big-data-tutorial.
      Hope this helps. Cheers!

    • @rosypriyadarshni7679
      @rosypriyadarshni7679 7 ปีที่แล้ว

      thank you

  • @_rupeshchauhan
    @_rupeshchauhan 3 ปีที่แล้ว

    Can i get this PPT.

    • @edurekaIN
      @edurekaIN  3 ปีที่แล้ว

      Hi Rupesh, unfortunately we do not provide the PPT used in our tutorial. On the bright side, kindly follow the link: bit.ly/3bsxQso to our reference presentation. Happy learning :)

  • @Richard-yw9if
    @Richard-yw9if 7 ปีที่แล้ว +1

    this tutorial(3) seems to be the same with the previous one(2). Why is that ?

    • @edurekaIN
      @edurekaIN  7 ปีที่แล้ว

      +Qiang Wan, thanks for checking out our tutorial.
      You can follow this playlist: th-cam.com/play/PL9ooVrP1hQOEmUPq5vhWfLYJH_b9jFBbR.html.
      There are a few repetitions in the first part of the playlist as we have uploaded videos by different trainers sometimes on the same topics. For our structured training program, you can check out our course here: www.edureka.co/big-data-and-hadoop.
      Hope this helps. Cheers!