Apache Hadoop Tutorial | Hadoop Tutorial For Beginners | Big Data Hadoop | Hadoop Training | Edureka

[@boytz1]

Some people are just BORN TO TEACH! This tutor is one of them. Great job!

[@edurekaIN]

Hey Lanre, we feel the same way about our tutor as well.Thank you for watching our video, we are glad that you liked it. Cheers :)

[@jayaprakashm6333]

This is the video i was looking to understand Big Data , Hadoop , Map Reduce, HDFS etc.Explanation of MapReduce is too good.

[@max55well]

This tutor is a good educator! She makes it very simple to understand. I hope to find more of her tutorials.

[@edurekaIN]

Hey Richard, thank you for watching our video, you can find more similar content on our channel. Do browse through our playlist. Cheers :)

[@karthikkumar4184]

Last month i joined Hadoop classes daily a hour class you covered every thing in just 1-40 min just amazing please make more practical videos ,

[@edurekaIN]

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 Use code "KZbin20" to get Flat 20% off on this training.

[@maneeshbhakuni1823]

I was totally new to hadoop before watching this video. Now i have pretty much clarity. Thank you Ma'am, really very nice explaination.

[@edurekaIN]

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

[@Heritas27]

This video has been really useful for me to learn about Big Data. The examples are great to understand each part of Hadoop. Congratulations!

[@edurekaIN]

Hey Angel, thank you for appreciating our work. Do browse through our channel to find more such videos. Cheers :)

[@romaf9714]

This is by far the best presentation from edurika in my opinion. The lady-presenter has a perfectly understandable English, smooth narration and wonderful PIG section presentation. Thank you so much!!

[@edurekaIN]

Hey Roma, thank you for the kind words. We are delighted to know that you found our content useful. Do subscribe and stay connected with us. Cheers :)

[@ashwinikolvekar4088]

The tutor is best at her job! She explained the concepts so very well. I am new to Hadoop but have understood it completely. Thank you so much for clear and concise explanation.

[@georgeolney4624]

This is an excellent overview. It's very rare when you comes across someone that knows the technology so well that thy can break it down to the simplest level. Congratulations, I hope to learn much more from you if this is an indication of the standard of your training.

[@edurekaIN]

Hey George, thank you for appreciating our work. We strive hard to make sure our content is up to the mark. You should also check out our website and the various courses we provide there: www.edureka.co Hope you find this useful as well. Cheers :)

[@namratakhanna93]

wonderful way of explaining the concept. loved the example of Bob. it explains horizontal scaling really well. thank you for the video. keep up the good work guys !

[@vedranskrinjar7415]

even though the beginning is a bit slow the rest of the video makes the patience pay off :) very good video! thanks!

[@edurekaIN]

Hey Vedran, thank you for sticking around till the very end. We are glad that you liked the content. Cheers :)

[@GuillaumeMaka]

Really good tutor, very simple introduction, easy to understand. Hope to find more content with her as a tutor.

[@மனிதம்வாழும்]

Reshma is really good in explaining the concepts and presentation is excellent. It was good to refresh the concepts by hearing through the presentation. Well presented and I really liked this presentation which is much impressive. Good Job Reshma. Thanks

[@Prashanth-yj6qx]

One of the finest and simple presentation i have ever seen in my life

[@edurekaIN]

Hey Prashanth, thank you for watching our video. Do subscribe and stay connected with us. Cheers :)

[@vineetavarma5325]

Crystal clear explanation for Hadoop. Thanks!

[@Abhisektheone]

Wow! The way you gave the first 20 min intro was awesome. Even a 12 year old can understand this

[@azamazad4927]

such a beautiful video guys iam from mechanical background and i was struggling to understand hadoop in my bigdata classroom sessions but just then i saw your video and i got a clear picture of what exactly is happening ......good work guys ....really looking forward to learn more courses from you guys in future........

[@edurekaIN]

Thank you so much for your kind words, Azam! We want to make the process of up-skilling and learning easier & doable for a wider pool of people. If you liked our youtube videos, check out our official website and browse through the courses we offer : www.edureka.co Keep learning. Cheers :)

[@bios7057]

Thanks this was super helpful and your explanations are very clear.

[@edurekaIN]

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

[@swathi3011]

Thank u so much mam....Nice explanation👍... voice clarity is awesome...This is the exact video what I was looking for

[@edurekaIN]

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

[@VCdiver]

Thanks Reshma for your instructive and clear video tutorial. This is one of the best instructions on Hadoop for beginners.

[@edurekaIN]

Thank yu for your kind words, Nam! Subscribe to ur channel and check out other tutorials as well. Would love to hear your feedback again :)

[@RanveerSingh-gj5tb]

@43:25 why block B had more number (6) to traverse compared to block A (4).. means why is it going via switch? Is it because of the racks..

[@edurekaIN]

Hey Ranveer, that is just a demonstration. Actually all inter-rack communications are done via a switch. Hope this helps :)

[@essirio7667]

Super extremely helpful for my exam tmr!!!!

[@surolyn]

Excellent video .., detailed explanation... Even a fresher can clearly understand the Hadoop concepts... Hats off to the trainer👍🏻👍🏻

[@kalpanajain933]

Explanation of MapReduce is wonderful, Thanks a lot. Really good tutor.Great Job!

[@edurekaIN]

Glad you liked it ! We are glad to have learners like you . Do subscribe our channel and hit that bell icon to never miss an video from our channel .

[@adityareddy9286]

Hi, at 56:36 Can you explain what are the two blank spaces u are talking about.Thank you. Btw very good presentation.

[@edurekaIN]

Hey Aditya, sorry for the delay. If you see the values column in the input text file, each tuple has three words and 2 spaces between the three words. Hope this helps!

[@kalyanit8551]

Very Very Helpful tutorial. Thanks for making this tutorial.

[@edurekaIN]

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

[@newvocabulary]

Thanks for using good english! Normally I can't understand Indian tutorials due to heavy accents. Your english is excellent!

[@edurekaIN]

Thank you for watching our video. We are glad to know that you liked our tutorial. Do subscribe, like and share to stay connected with us. Cheers :)

[@GauravSharma-fq6sn]

Excellent piece of video on Hadoop who doesn't have any technical knowledge

[@edurekaIN]

Hey Gaurav! Thank you for appreciating our work. Do browse through our playlist and find other tutorials that you will find interesting. Cheers :)

[@sonemonikakati5763]

Great work guys!!!!!Keep it up...Waiting for many more to come

[@satyendrasharma3181]

Nice tutorial, Examples taken are very each to understand and meaningful.

[@edurekaIN]

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

[@albertparent2171]

Very clear and concise. Thank you.

[@edurekaIN]

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

[@abhisheknandawdekar8174]

No words simply great.... You are amazing Reshma..

[@ahmedelmenshawy474]

really it'a amazing session about hadoop , thank you

[@edurekaIN]

Thank you so much for your review on our channel  Great to hear that Edureka is helping you learn better . We’ll strive to make even better learning contents/courses in the future ! Do subscribe the channel for more updates : )

[@binny408]

Awesome video and explanations!

[@ch.vijaykumar4559]

This is very informative, for beginners. Thank You

[@김세환-q8e]

A nice and good tutorial to understand a basic concept of Hadoop and it's eco system.

[@edurekaIN]

Hey 김세환, 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!

[@manimaranblue]

Really good. Instead of single lengthy video, break it with multiple topics(playlist). Just a suggestion. :)

[@sawvema]

Wonder explanation and easy to understand.. Thanks !! Will keep watching this space for more..

[@edurekaIN]

Hey Sawan, we are delighted that you are loving our content. Do stay tuned for more updates. Cheers!

[@jeffg.6310]

Exceptional video! Thank you!

[@uditkaushik]

Mind blowing explanation !! Thanks a lot teacher !!

[@TheFlash-vk3ef]

loved her voice...

[@AtulKakrana]

Clear, Crisp tutorial - Great job!!

[@edurekaIN]

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

[@gauravuniyal1357]

Great explanations with very good examples.

[@edurekaIN]

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

[@hichamtagemouati8321]

It's very interesting presentation. many Thanks

[@minhajansari8272]

This video was very helpful, I'm totally new and I learnt a lot very quickly.

[@karymfel9842]

Amazing explanation once again Reshma. You are the best

[@varaprasad8378]

Hi Reshma, what exactly happening when both WRITE and READ operations performed on a block at same time?

[@edurekaIN]

HDFS follows WORM i.e. Write Once Read Many policy. Once the block that has been written to HDFS can't be edited or modified. Hence, you will never be able to write to the data blocks already residing in HDFS. And yes, multiple user can perform read operation concurrently on same data blocks. Hope this helps :)

[@abhisheksharma6617]

Given the fact that what a top notch presenter Reshma is, how I wish the map reduce was in Python!!!

[@jareebrahman]

Hi Guys, Thank you for being so generous to share such an informative and quality training stuff openly. Presenter is perfect. All the best team for all your future endeavors!

[@edurekaIN]

Hey Jareeb, thanks for the compliment. We are glad you loved the video. Do browse through our other video also and all the best to you too. Cheers! :)

[@chanchalsinghal5973]

Awesome videos .. I have learned so many things..

[@edurekaIN]

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

[@yilia1179]

very clear! Thank you!

[@abdulkareem-nm6bk]

Awesome .. A very good explanation..

[@edurekaIN]

Hey Abdul, thank you for watching our video. Do subscribe and stay connected with us. Cheers :)

[@shravanqa3486]

Very good tutorial,very clear explanations..

[@edurekaIN]

Hey Shravan, thanks for the compliment. We are glad you loved the tutorial. Cheers!

[@kolijyoti811]

Well explained 🙂👏

[@ushavadrevu2833]

Very informative. Thank you.

[@edurekaIN]

Hey Usha, thank you for appreciating our work. Do subscribe and stay connected. Cheers :)

[@SuperArul14]

Very helpful and crisp content..

[@bharatarora640]

Thank you so much for uploading such video nd your content is super powerful and the best part is it seems to b vry simpl nd easy to leran

[@edurekaIN]

Hey Bharat, thank you for appreciating our work. We strive hard to make sure that our content is easy to understand. Do subscribe and stay connected with us. Cheers :)

[@sushruthlokam]

Hi Edureka, The explanation of MapReduce is awesome.. I have one question, Most of all SQL operations are done in PIG then where we will use the HIVE and what are the use-cases of HIVE.

[@edurekaIN]

Hey Sushruth, "www.edureka.co/blog/hive-tutorial/ This blog might help you out! Good luck."

[@TheStarwalk]

Thank you for the video! Great teacher.

[@edurekaIN]

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

[@visrayman]

Great tutoring... for Hadoop..

[@GMack2023]

Brilliant tutorial, very informative and well explained. Thanks very much.

[@siddharthslayer1562]

Excellent mam, Thank you very much.

[@edurekaIN]

Hey Siddharth, thank you for watching our video. We are glad to know that you liked our tutorial. Do subscribe and stay connected with us. Cheers :)

[@mathstube1802]

Where to BIG data get stored? isit in Hadoop? So Hadoop is like hardware drive which store data by means of HDFS??

[@braucejason2727]

It is great job. Really helpful!

[@edurekaIN]

Thank you Jason! Do subscribe and stay tuned for all the latest videos. Cheers :)

[@RoryBramwell]

Awesome video! Thanks :-)

[@edurekaIN]

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

[@sarahbeadle2992]

Excellent video, explained well

[@edurekaIN]

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

[@ajithmk6865]

nice and well beautifully explained.

[@edurekaIN]

Good To know our videos are helping you learn better :) Stay connected with us and keep learning ! Do subscribe the channel for more updates : )

[@awesome_harish]

what a excellent presentation

[@edurekaIN]

Thanks for the compliment Harsh! We are glad you loved the video. Do subscribe and hit the bell icon to never miss an update from us in the future. Cheers!

[@premthk]

Thanks for the tutorial

[@edurekaIN]

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

[@premthk]

Edueka I need job as Hadop developer. can U help me ??

[@shreepadpadgaonkar1516]

Excellent mam.....thanks alot...

[@Kevin-e7d5l]

very good ~~ very helpful !!

[@edurekaIN]

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

[@prashantkudire3544]

Commodity hardware means ?

[@karunahebsur5792]

Its just Great !!!!! Good JOB !!

[@ashokkumarreddyboddu762]

Nice explanation

[@011gaurav]

Hi. It was a really good session, Please let me know how the tools connect with HDFS server?

[@iitgupta2010]

Very nice explanation ... grt Neha

[@edurekaIN]

Hey Nitin, glad you loved the video. Do subscribe to our channel to never miss an update from edureka in the future. Cheers!

[@ge_song5]

Nice work!

[@deepeshsanadhya3599]

Are the videos in playlist is similar in order to watch

[@edurekaIN]

Yes, Deepesh you can follow the tutorial flow s mentioned in the playlist. Cheers :)

[@shravanqa3486]

is there any limit on the data stored across each Data node/slave node?or How many blocks of data can be stored across a Data node?

[@edurekaIN]

Hey Shravan, When a user stores a file in HDFS, the file is divided into data blocks, and three copies of these data blocks are stored in slave nodes throughout the Hadoop cluster. That's a lot of data blocks to keep track of. Hope this helps!

[@nitishbharti8974]

Nice presentation keep it up

[@sriniub7594]

Thanks Reshma for your instructive and clear video tutorial, I joined hadoop Big Data course in edureka last month, I want to learn PIG programming end to end [PIG scripting], Can you please advice where i can learn more PIG scripting concepts.

[@edurekaIN]

Hi Sriniu, firstly thanks for joining our Big Data Hadoop course, welcome to our learner family. Check out this video on Pig Tutorial: kzbin.info/www/bejne/fXiQh4Wja72hhM0 Here are few blogs also on Pig: www.edureka.co/blog/pig-tutorial/ Cheers!

[@harshitgupta2515]

all the 47 tutorial videos which u upload is it enough to being master in hadoop ?? or it's compulsary to join your tutorial class ??

[@edurekaIN]

Hey Harshit, these videos are of basic/intermediate level which has clear explanation of all the concepts used in Apache Hadoop. If you truly want to master these technology with good hands-on experience that check out this link: www.edureka.co/search/Hadoop Hope this helps :)

[@peterv6i]

Thank you for this tutorial

[@edurekaIN]

Hey Peter, thank you for watching our video :)

[@asifsoft7861]

does it require to know java coding for hadoop? .I work as Oracle DBA..so I wonder if I need to learn java for learning Hadoop?

[@edurekaIN]

+asifsoft7861, thanks for checking out our tutorial. There are no pre-requisites as such to learn hadoop. Knowledge of core Java and SQL are beneficial to learn Hadoop, but it's not mandatory. Also, we provide you with a complimentary self-paced course on Java essentials for Hadoop when you enroll for our course so you don't need to worry. You can check out our course details here: www.edureka.co/big-data-and-hadoop. Please feel free to get in touch with us if you have any questions. Hope this helps. Cheers!

[@shivangisharma592]

mam ,its just awsm

[@mahalakshmi2998]

Mam, I have a doubt, if the replication factor is 3 by default , then because of tht the hdfs space to store the data becomes large know

[@edurekaIN]

Hadoop is used to store and save your data as much as possible in many places so that whenever you need it, it is available to you. If space was a concern, then we would waste more time and vice versa. So yes, space does increase but time reduces. Hope that helps

[@tushargoyal4393]

yours tutorials are very nice i understand everything.. but i want that csv file u used in the tutorials

[@edurekaIN]

Hey Tushar, we are glad you liked our video. Mention your email address and we will send the files over. Cheers :)

[@amaniyarlagadda9641]

Hi Mam, This video is one of the top class video.I want to hear PIg & Hbase from you.Please upload

[@edurekaIN]

Hey Amani, thanks for checking out our tutorial! We're glad you found it useful. Here are a couple of tutorials on Pig & Hbase that we thought might help you: kzbin.info/www/bejne/j6iXmZaJh5J3fbc kzbin.info/www/bejne/hIC7Z2CkedmlfLM Ypu can find more such tutorials in this playlist: kzbin.info/aero/PL9ooVrP1hQOEmUPq5vhWfLYJH_b9jFBbR Do subscribe to our channel to stay posted on upcoming tutorials. Hope this helps. Cheers!

[@thiery572]

Very interesting.

[@edurekaIN]

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

[@OmPrakash-cr7rj]

Very helpful...

[@saurabhiim]

Nice Presentation , do we get to see this presentation on public domain ? Like on slide share ?

[@edurekaIN]

Hey Saurabh, thanks for checking out our tutorial. We're glad you liked it. Here's the link to the deck on slideshare: www.slideshare.net/EdurekaIN/apache-hadoop-tutorial-hadoop-tutorial-for-beginners-big-data-hadoop-hadoop-training-edureka?qid=0aa124db-5f92-41fb-bfbe-05f444417b4f&v=&b=&from_search=2. Hope this helps. Cheers!

[@subramanyam.d24m56]

ur voice is good

[@jaykrishna2371]

I am learning hadoop in the 53 videos presented by edureka.. what is the certification procedure after completing these 53 videos???

[@edurekaIN]

Hey Jay, once you are done understanding he basics and are ready to master hadoop then, check out our Big Data Hadop course here: www.edureka.co/big-data-and-hadoop The course description, curriculum, fees, batches and other details are mentioned there. Give it a read and let us know if you have any query. Cheers :)

[@xiangqi3954]

rly good!

[@edurekaIN]

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

[@kirankumarreddy5807]

very helpful .... thnq......

[@shahinabanu2375]

THANK YOU

[@hoanganhkhoil]

How can I register for this specific instructor's course? What is her name? And how much per course?

[@jksharma7]

very good

[@krishnarupeshnagubandi596]

I didn't understand pipeline for copying. If we copy the block A three times which are available in three different racks. It is just a duplicate right?

[@edurekaIN]

Hey Krishna, Hadoop is a cost effective solution because it uses commodity hardware. Now, as they are commodity hardware, they are more prone to faliure. Thus, we keep replicas, that if one of the hardware fails we have the backup of the data which is stored on it. To understand more about how replication takes place, you can go through this hdfs tutorial blog -> www.edureka.co/blog/apache-hadoop-hdfs-architecture/#rack_awareness Hope this helps :)